5. In a correlation study, the values in the table were obtained. Coefficient of correlation, r 0.6 Find the two regression equations. X y mean 12 15 SD 2 3
Q: the equation of the regression line, y = bo + bix, for predicting the number of bids an item will…
A: Given The simple linear regression output of technology Excel Procedure: Using excel, follow the…
Q: Explain how to predict y-values using the equation of a regression line. Choose the correct answer…
A: The question is about regression Introduction : The general form of the reg. line is given by y^ =…
Q: The coefficient of determination of a set of data points is 0.862 and the slope of the regression…
A: From the given information, The coefficient of determination, r2= 0.862 Slope of the regression…
Q: What is the value of my regression's intercept?
A: It is given that Correlation coefficient r = 0.4 Mean(y) = 32, SD(y) = 10 Mean(x) = 20, SD(x) = 12
Q: regression was run to determine if there is a relationship between hours of TV ay (x) and number of…
A: Given data, Here regression equation is y=ax+b y=-0.842x+20.276 If x=3.5 y=?
Q: In the multiple regression model, the adjusted R², Ŕ²: A. cannot decrease when an additional…
A: It is needed to discuss about the adjusted R2.
Q: The data show the number of viewers for television stars with certain salaries. Find the regression…
A: The data shows the number of viewers for television stars with certain salaries.
Q: Using your favorite statistics software package, you generate a scatter plot with a regression…
A:
Q: You run a regression analysis on data with two variables and you obtain the regression equation y =…
A:
Q: From a regression equation r = 0.71 and the slope = 3.5. What is the linear correlation coefficient…
A: Given : r² = 0.71 slope = 3.5
Q: g. Compute mean of x and y (on 4 decimal places) h. Compute the intercept of regression line (in 4…
A: Since you have posted a question with multiple sub-parts, we will solve first three subparts for…
Q: 3.3.1 Interpret the output depicted in in 3.3 above. 3.3.2 Specify the reason(s) for the low…
A: Answer: 4.3.1 As per the Output of the multiple regression given in the question, there are three…
Q: Q9. Find and graph the sample regression line of y on x and the given data as point on the same…
A: The general linear function is defined by the equation, y=ax+b. Here, x is the independent variable…
Q: 1. What is the point of finding a regression equation? Think in terms of mathematical as well as…
A: It tells about regression equation,so we go through detail analysis of it,
Q: Given the correlation coefficient -0.994 and the linear regression equation y = 212-1.81x, compute…
A: Given that,
Q: The accompanying table shows results from regressions performed on data from a random sample of 21…
A: WT=2750 lbDISP = 2.2 LHWY = 35 mi/gal
Q: determine the regression equation and the correlation coefficient. can you conclude there is a…
A: Since you have posted a question with multiple sub-parts, we will solve first three sub-parts for…
Q: The data show the chest size and weight of several bears. Find the regression equation, letting…
A: Given: n = 6 Formula Used: The Regression equation: Y = a + bX Slope b = n∑XY-∑X∑Yn∑X2-∑X2 Intercept…
Q: How much variance for the Y scores is predicted by using both X1 and X2 as predictor variables?…
A: It is given adPearson correlation coefficient (r) between X1 and Y = 0.40If the second variable X2…
Q: 2. You are interested in finding out the linear regression fit of 2 sets of variables. You already…
A: Given data: Mean and standard deviation of the predictor X is: x¯=6.2sx=3.03315 Mean and standard…
Q: Using the table below: a. Plot the points in a graphing paper b. Find the regression line and…
A: Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts. In case…
Q: QUESTION 29 In the following estimated regression equation = b0 + b1x, O a. b1 is the slope. O b. b1…
A: It is given that the estimated regression equation =b0+b1x.
Q: Q12. Identify the correct statement concerning, r the correlation coefficient between X and Y and…
A: The general form of the regression line is: Y=ax+b Where Y is the predicted value, 'b' is the…
Q: The data show the chest size and weight of several bears. Find the regression equation, letting…
A:
Q: Given the following data, find the weight that represents the 60th percentile. 8.6 Weights of…
A: Given data: 8.6, 7.7, 7.6, 9, 7.4 ,6.7, 9, 6.9, 8.6, 7.9, 8.5, 8.2, 6.3, 6.7, 9.1
Q: 6. The data show the chest size and weight of several bears. Find the regression equation, letting…
A: Predicted weight = -313.9+15.8(58) = 601.8
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: p is the best- model 0/96 In 3 and 4, determine whether the scatter plot of the data for the…
A: We have to determine whether the scatter plot of the data show a positive or negative linear…
Q: Calculate the Pearson correlation for the scores. (Use three decimal places.) Find the regression…
A: We have to determine the correlation coefficient and the line of regression on the basis of given…
Q: Suive the problem. The data in the table represent the amount of pressure (psi) exerted by a…
A: From above table Coefficient Intercept=-2.018775528Coefficient X variable 1 =2.134464237
Q: Plot X & Y axis as a scatter plot and describe the plotted data. Calculation (no changes here): Does…
A: Given, data on rainfall and crop yield To make a scatter plot To make regression equations and…
Q: 000 Summary Statistics Switch Variables Statistic medianhouseholdincome casesper100k Мean 65057.304…
A: Given : “Since you have posted a question with multiple sub-parts, we will solve first three sub…
Q: The multiple regression equation for predicting Y by X1 through X6. A total of n 22 observations…
A: The question is about regression.Given :Total no. of observations ( n ) = 22R2 = 0.57Regression…
Q: 1. From the following data and given output, determine the equation of the regression line and…
A: The correlation coefficient between the two variables can be calculated by using the cell function…
Q: A college tested for linear correlation between its statistics students' attitude ratings (x) and…
A: Regression equation y^ y^=1.6x-18.49
Q: What is the slope of the regression line ? What is the y-intercept of the regression line?…
A:
Q: When the correlation coefficient (r) is zero, we can say: Choose one: a. the variables are not…
A: Correlation: When a bivariate population is under consideration, there is generally a need to study…
Q: Equation of regression lines obtained in a correlation analysis are as follows: 8Y = 18X + 30.50X =…
A: Given : 8Y = 18X + 30 50X = 12Y + 14
Q: Find the equation of the regression line for the given data. Then construct a scatter plot of the…
A:
Q: Using the regression formula with a the beta coefficient (or slope) = .53 and intercept = 1.17, what…
A: Here we have given tehn information, a = 1.17 b = 0.53 Then Regression equation is Y = a + bX Y =…
Q: he data show the chest size and weight of several bears. Find the regression equation, letting…
A: x y xy x2 y2 44 213 9372 1936 45369 41 206 8446 1681 42436 41 176 7216 1681 30976 55…
Q: The data show the number of viewers for television stars with certain salaries. Find the regression…
A:
Q: Summary Statistics Switch Variables D000 Statistic casesper100k medianhouseholdincome Mean 652.217…
A: The scatter plot here reveals a basic linear relationship between X and Y for most of the data. An…
Q: Listed below are paired data consisting of movie budget amounts and the amounts that the movies…
A: Given X=130
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
- 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 50 inches. Is the result close to the actual weight of 417 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) FClick the icon to view the critical values of the Pearson correlation coefficient r. 49 51 53 61 57 45 D 368 382 420 481 457 287 What is the regression equation? y=+x (Round to one decimal place as needed.) Critical Values of the Pearson Correlation Coefficient r n 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 25 30 35 40 45 50 60 70 80 90 100 n Critical Values of the Pearson Correlation Coefficient r α=0.05 α = 0.01 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.396 0.361 0.335 0.312 0.294 0.279 0.254 0.236 0.220 0.207 0.196 α = 0.05 Print 0.990 0.959 0.917 0.875 0.834 0.798 0.765 0.735…A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.271 b=39.101 ²-0.407044 r=-0.638 Assume the correlation is significant, and use this to predict the number of situps a person who watches 14 hours of TV can do (to one decimal place) AftChoose all that apply when describing R2. (Hint: 5 options are correct) (Select all that apply.) Can be inflated by adding more variables. O Can be inflated by removing variables. Referred to as the coefficient of detemination or coefficient of multiple determination. Is used to determine the fit of a model. Represents the percent of variability in y that can be explained by the model. In simple linear regression, it is equal to the correlation coefficient 2. O Only describes the relationship between quantitative variables. O Is only used in multiple linear regression. SSres SSreg SStotal SStotal
- 13/The regression equation is: ŷ = 67.16 + 8.417x where ŷ is the miles traveled, and x is the MPG. The sample size used was all 110 MPG records. The correlation coefficient r = 0.620. Use the information to obtain an estimate of my mileage if my MPG is 22. Is it option: a.) cannot estimate ŷ rcrit = 0.195; the correlation IS NOT significant b.) ŷ = 252.33 rcrit = 0.195; the correlation IS significant c.) ŷ = 252.33 rcrit = 0.187; the correlation IS significant d.) cannot estimate ŷ rcrit = 0.187; the correlation IS NOT significantQ3: From the following data: 2 5 y 5 4 6 3 1) Draw scatter plot. 2) Determine the regression line y = a + b x. 3) Predict the value of y for the value of x = 4.6. 4) Calculate the correlation coefficient. 4 8 3 5
- J 1 The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response why variable is city fuel consumption in miles/gallons. The predictor X variables are weight weight in pounds, DISP engine displacement leaders NHW Y Highway fuel consumption in miles/gallons. It's only one predictor X variable is used to predict the city fuel consumption, which single variable is best? Why? The best variable is (WT/HWY/DISP) because it has the best combination of (large/small) p-value, (answer) and (large/small) adjusted R^2 (answer) (type integers are decimals. Do not round)Prev The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, y = bo + b₁x, for predicting the number of bids an Item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, In practice, It would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Price in Dollars 28 33 36 42 45 Number of Bids 1 7 8 9 10 Step 3 of 6: Find the estimated value of y when x = 33. Round your answer to three decimal places. Table Copy Data NextYou run a regression analysis and obtain the regression equation y 3.176x +124.355 with a correlation coefficient of r = - 0.748. You want to predict what value (on average) for the response variable will be obtained from a value of x = 150 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)
- 34Prev The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, y = bo + b₁x, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, In practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Age Bone Density 61 62 68 69 40 357 350 343 340 315 Step 1 of 6: Find the estimated slope. Round your answer to three decimal places. Table Copy Data Nextq10