You are given the following data : Y 85 Arithmetic Mean Standard Deviation Correlation coefficient between X and Y () Find the two Regression Equations (ii) Estimate the value of X when Y= 75. 36 11 8 0.66
Q: Run a regression analysis on the following data set, where y is the final grade in a math class and…
A: Given :
Q: llustration 10. You are given the following data: Y Arithmetic Mean 36 85 Standard Deviation 11 8…
A:
Q: ABC University uses data from a random sample of students in a regression analysis to see if the…
A: Given : Here, Excel regression printout is given. We have to identify the coefficient for the…
Q: Find the equation of the regression line for the given data. Then construct a scatter plot of the…
A: Given data set is : Hours spent studying, x 1 1 2 4 4 5 Test score, y 40 44 52 48 63 71
Q: Use the pizza cost and the subway fare in the table below to find the regression equation, letting…
A: The provided information is Pizza cost (x) Subway Fare (y) xy x2 0.152 0.148 0.022496 0.023104…
Q: Use the pizza cost and the subway fare in the table below to find the regression equation, letting…
A: Given the data asYearPizza CostSubay…
Q: correlation between temperature and sales is r = 0.67. This means that __________ of the…
A: Given that ; Correlation ( r) = 0.67 By using the regression concept coefficient of determination…
Q: Given data for a least-squares problem, (x, y4)..... (Kn.Yn). the abbreviations Ex= E x. E= E x7.…
A:
Q: Use the following data to perform a regression analysis. What is the regression equation? Is it…
A: Regression is method of analysis that used to predict the value over a period of time. It used to…
Q: r=0.904401 r=-0.951 Use this to predict the number of situps a person who watches 7.5 hours of TV…
A: It is given that a = -1.112b = 38.481x : hours of TV watched per dayy : No. of situps a person can…
Q: Use the regression equation to predict the value of y for x = -3.8. Assume that the variables x and…
A: The independent variable is x and the dependent variable is y.The variables x and y have a…
Q: Find the equation of the regression line for the given data. Then construct a scatter plot of the…
A: We have given that, X :- 0, 1, 2, 4, 5, 5 Y:- 40, 45, 51, 49, 62, 67 Then, We will find the…
Q: Assuming the following probability distribution of the possible returns, compute the expected return…
A:
Q: You run a regression analysis and obtain the regression equation y = 1.784x 22.666 with a…
A: Formula for predicted response value (Y) Y= bX + a Where X is explanatory variable
Q: Use the pizza cost and the subway fare in the table below to find the regression equation, letting…
A: The independent variable is pizza cost (x) and the dependent variable is subway fare (y).
Q: The data show the chest size and weight of several bears. Find the regression equation, letting…
A: Consider the following preliminary calculations:…
Q: Find the equation of the regression line for the given data. Then construct a scatter plot of the…
A: Note: According to Bartleby expert guidelines, we can answer only first question with their three…
Q: Run a regression analysis on the following data set, where y is the final grade in a math class and…
A: From the provided information, x y 4 47.6 5 53 5 59 5 53 7 50.8…
Q: A high school track & field coach wanted to asses the relationship between an athletes height and…
A: Since you have posted a question with multiple sub-parts, we will solve first three sub-parts for…
Q: i) What does it mean to say that the fixed effect varies cross sectionally by not over time?
A: Answer:----. Date:----28/09/2021
Q: Find the equation of the regression line for the given data. Then construct a scatter plot of the…
A:
Q: The data show the number of viewers for television stars with certain salaries. Find the regression…
A:
Q: The data show the chest size and weight of several bears. Find the regression equation, letting…
A: The following information has been provided: Chest Size(x) Weight (y) 44 213 41 206 41 176…
Q: Run a regression analysis on the following data set, where y is the final grade in a math class and…
A: Hours/week x Grade y 4 41.6 5 63 5 54 7 63.8 8 66.2 8 66.2 12 73.8 17 88.8 20 100…
Q: Find the equation of the regression line for the given data. Then construct a scatter plot of the…
A: xy040143351348565667
Q: Determine which of the five types of regression is best for the given data in that exercise (the…
A: Regression is the technique used to model and analyse the relationship between the variables.
Q: Find the équation of the régressión line för the given dátá Thên cónstruct à ščáttér plot óf the…
A: Here, n = 6 Through Excel, you can calculate the sums. So, first enter the data in excel and…
Q: EGO Find the equation of the regression line for the given data. Then construct a scatter plot of…
A: Use EXCEL to obtain the regression equation. EXCEL procedure: Go to EXCEL Go to Data>Data…
Q: A family doctor wants to examine the variables that affect his patients total cholesterol. He…
A: Multiple regression analysis is critical to accurate representation of the real word phenomenon.
Q: -y 43 48 72 (c) x = 13 hours (d) x= 1.5 hours 51 64 gression equation. d the slope to three decimal…
A: Given Regression equation is Ycap=b1X + b0
Q: 109 SECTION 4.1 | Measures of Central Tendency EXERCISE SET 4.1 In Exercises I to 10, find the mean,…
A: Solution: Note: Hello! As you have posted multiple questions, we are answering the first question…
Q: Find the equation of the regression line for the given data. Then construct a scatter plot of the…
A: We have given that, X :- 1, 1, 2, 3, 5, 5 Y:- 38, 43, 51, 48, 64, 72 Then, We will find the…
Q: The following estimated regression equation based on 10 observations was presented. ŷ = 29.1270 +…
A: The given data is as follows:The regression equation is .The objective is to compute the point…
Q: The data show the number of viewers for television stars with certain salaries. Find the regression…
A:
Q: Run a regression analysis on the following data set, where y is the final grade in a math class and…
A: From given data, X Y X*Y X*X 5 43 215 25 8 71.2 569.6 64 9 71.6 644.4 81 12 72.8 873.6…
Q: he data show the chest size and weight of several bears. Find the regression equation, letting…
A:
Q: Find the equation of the regression line for the given data. Then construct a scatter plot of the…
A:
Q: The data show the chest size and weight of several bears. Find the regression equation, letting…
A: Given information : Let , x be chest size that is independent variable and y be the weight…
Q: Use the regression equation to predict the value of y for x = -3.8. Assume that the variables x and…
A: We have given two variables x and y, we have to predict the value of y for x.Given observation and…
Q: test and their scores on that test are shown below. Hours spent studying, x Test score. y (a) x=2…
A: Step-by-step procedure to draw the fitted line plot using Excel: In Excel sheet, enter and select…
Q: The accompanying data are the number of wins and the earned run averages (mean number of earned runs…
A: Given: Wins (x) Earned run average (y) xy x^2 y^2 20 2.72 54.4 400 7.3984 18 3.26 58.68…
Q: Use the value of the linear correlation coefficient to calculate the coefficient of determination.…
A: Given : Correlation coefficient = r = 0.926
Q: Use the pizza cost and the subway fare in the table below to find the regression equation, letting…
A: Kindly follow the attachments below for explanation.
Q: Use the value of the linear correlation coefficient to calculate the coefficient of determination.…
A: The given linear correlation coefficient r is -0.338.
Q: The data show the chest size and weight of several bears. Find the regression equation, letting…
A: As per honor code we will only answer first three parts. Use the given data to form excel table:…
Q: For variables X and Y we have that the correlation between them is 0.9. Also the standard deviation…
A:
![You are given the following data :
Y
85
Arithmetic Mean
Standard Deviation
Correlation coefficient between X and Y
() Find the two Regression Equations
(ii) Estimate the value of X when Y= 75.
36
11
8
0.66](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F06a20935-18ca-4165-9988-90c87f1deb44%2Fa3766700-898b-4e6f-8095-37b1a47194f5%2Fnsj6ow9_processed.jpeg&w=3840&q=75)
![](/static/compass_v2/shared-icons/check-mark.png)
Step by step
Solved in 3 steps with 3 images
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
- Use the pizza cost and the subway fare in the table below to find the regression equation, letting pizza cost be the predictor (x) variable. (Pizza cost is in dollars per slice, subway fare and CPI are in dollars.) What is the best predicted subway fare when pizza costs $3.98 per slice? Year Pizza Cost Subway Fare CPI 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 0.152 0.353 1.000 1.251 1.753 2.003 2.254 2.300 2.747 2.997 0.151 0.346 1.000 1.347 1.497 2.004 2.253 2.551 2.747 2.750 29.6 44.4 109.6 152.4 180.0 184.0 214.5 233.0 237.0 252.2 The regression equation is y=+x. (Round the y-intercept to four decimal places as needed. Round the slope to three decimal places as needed.) The best predicted subway fare when pizza costs $3.98 per slice is $ (Round to the nearest cent as needed.)Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. Calories, x 130 130 350 370 150 (a) x 160 calories (b)x= 100 calories Sodlum, y (c) x 140 calories (d) x=200 calories Find the regression equation. (Round to three decimal places as needed.) Choose the correct graph below. OA 560 Q Q 200 G Calories (a) Predict the value of y for x = 160. Choose the correct answer below. OA. 393.094 OB. 440.954 OC. 536.674 OD. not meaningful (b) Predict the value of y for x= 100. Choose the correct answer below. OA 297.374 OB. 536.674 OC. 393.094 OD. not meaningful (c) Predict the value of y for x = 140. Choose the correct answer below. OA 297.374 OB.…Run a regression analysis on the following data set, where y is the final grade in a math class and x is the average number of hours the student spent working on math each week. hours/week Grade y 8. 72.2 8. 58.2 10 60 11 71.4 14 92.6 14 76.6 14 75.6 14 83.6 15 81 20 100 State the regression equation with constants accurate to 2 decimal places. ý = What is the predicted value for the final grade when a student spends an average of 15 hours each week on math? Round to 2 decimal places. Question Help: D Video 1 Video 2 Submit Question
- Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x Test score, y 4 (a) x = 2 hours (c) x = 13 hours (b) x= 2.5 hours (d) x = 4.5 hours 2 3 5 40 45 52 49 63 70 Find the regression equation. ý =x+ (O (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. O A. OB. OC. OD. 80- 80- Hours studying Hours studying Hours studying Hours studying (a) Predict the value of y for x= 2. Choose the correct answer below. O A. 52.2 О В. 49.2 ОС. 64.2 O D. not meaningful (b) Predict the value of y for x = 2.5. Choose the correct answer below. O A. 115.4 О В. 52.2…The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 41 inches. Is the result close to the actual weight of 153 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r. 40 53 38 43 44 58 D 227 360 153 206 234 414 What is the regression equation? y=+x (Round to one decimal place as needed.) What is the best predicted weight of a bear with a chest size of 41 inches? The best predicted weight for a bear with a chest size of 41 inches is (Round to one decimal place as needed.) Is the result close to the actual weight of 153 pounds? O A. This result is exactly the same as the actual weight of the bear. O B. This result is close to the actual weight of the bear. O C. This result is very close to the actual weight of the bear. O D. This…K Fit a regression line to the data shown in the chart, and find the coefficient of correlation for the line. Use the regression line to predict life expectancy in the year 2000, where x is the number of decades after 1900. year, x 0 (1900) life expectancy, y 49.1 years 51.4 years 2 (1920) 4 (1940) 53.0 years 6 (1960) 54.2 years 55.2 years 8 (1980) Choose the regression line. OA. y = 0.750x - 49.58 O C. y = 0.750x + 49.58 OB. y=49.58x + 0.750 = 49.58 ○ D. y = The life expectancy in the year 2000, rounded to one decimal place is years.
- The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 48 inches. Is the result close to the actual weight of 308 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r. 58 49 58 43 46 57 355 266 332 177 246 348 What is the regression equation? y = + x (Round to one decimal place as needed.) %3D What is the best predicted weight of a bear with a chest size of 48 inches? The best predicted weight for a bear with a chest size of 48 inches is pounds. (Round to one decimal place as needed.) Is the result close to the actual weight of 308 pounds? A. This result is not very close to the actual weight of the bear. B. This result is close to the actual weight of the bear. C. This result is exactly the same as the actual weight of the bear.…The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 44 inches. Is the result close to the actual weight of 293 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 45 221 265 50 41 52 45 335 307 45 265 Critical Values of the Pearson Correlation Coefficient r 321 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? Critical Values of the Pearson Correlation Coefficient r a = 0.05 a = 0.01 0.990 NOTE: To test Ho: p=0 y=+x (Round to one decimal place as needed.) 4 against H,: p#0, reject H, jf the absolute value of r is greater than the critical value in the table. 0.950 0.878 0.959 6 0.811 0.917 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 0.684 0.661 13 0.553 14 0.532 15 0.514 0.641 0.497 16 17 18 19 0.623…Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x Test score, y 4 47 (a) x=3 hours (c) x= 13 hours (b) x= 2.5 hours (d) x= 3.5 hours 5 6 40 45 52 63 72 Find the regression equation. y=x+ (O (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
- Use the pizza cost and the subway fare in the table below to find the regression equation, letting pizza cost be the predictor (x) variable. (Pizza cost is in dollars per slice, subway fare and CPI are in dollars.) What is the best predicted subway fare when pizza costs $3.91 per slice? Year 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 Pizza Cost 0.153 0.347 0.998 1.247 1.751 1.996 2.246 2.298 2.751 2.997 Subway Fare 0.149 0.347 1.001 1.347 1.500 1.996 2.252 2.548 2.753 2.748 CPI 29.6 44.4 109.6 152.4 180.0 184.0 214.5 233.0 237.0 252.2 Question content area bottom Part 1 The regression equation is y=enter your response here+enter your response herex. (Round the y-intercept to four decimal places as needed. Round the slope to three decimal places as needed.) Part 2 The best predicted subway fare when pizza costs $3.91per slice is $enter…Use the regression equation to predict the value of y for x = -1.6. Assume that the variables x and y have a significant correlation. -5-34 1 -1-2 X 0 2 3 -4 y - -10 8 9 1 -2-6 -1 3 6 -8 OA. 1.214 OB. -2.803 O C. 2.980 OD. -3.907
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
![Elementary Statistics: Picturing the World (7th E…](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
![The Basic Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
![Introduction to the Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
![Elementary Statistics: Picturing the World (7th E…](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
![The Basic Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
![Introduction to the Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)