The height (in cm) and weight (in lbs) of 16 randomly selected baseball players are shown in the table below.height weight76212762247218074210752157120077235782357719476185721807217075220742287321074186Download CSVAssume we want to do a regression analysis.i. Find the correlation coefficient. Round your answer to four decimal places.r =ii. Does it actually make sense to use the line for predictions? Do a hypothesis test with a = 0.05 andexplain your answer. You may want to reference a Critical Values Table [+] (there is also one in yourtextbook).

Given data The height and weight of 16 randomly selected baseball players

Answered: The height (in cm) and weight (in lbs)…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The table shows the number of absences, x, in a class and the final exam grade, y, for seven students. X 1 0 2 6 4 3 3 Y 95 90 90 55 70 80 85 Use the graphing calculator to find the correlation coefficient. (Round answer to three decimal places. Do not write 0.123 as.123.)
Determine the correlation coefficient for the data shown in this table: x 1 8 8 15 14 20 y 42 38 30 20 18 11
The table shows the mathematics entrance test scores x and the final examination scores y in an algebra course for a sample of 10 students. 21 30 36 41 45 47 54 59 64 75 54 74 57 65 79 90 75 92 82 100 (a) Sketch a scatter plot of the data.
Will the following variables have positive correlation, negative correlation, or no correlation? IQ and annual salary Will these variables have positive correlation, negative correlation, or no correlation? O No correlation O Negative Positive Click to select your answer. acer esc @ 2$ % 8 W e r tab Dロ d f 9h a しのづ త #3 の

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 table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x Stories, y 775 619 519 508 (a) x= 501 feet (c) x=318 feet 491 474 (b) x = 651 feet (d) x= 729 feet 53 47 45 43 38 37 Find the regression equation. (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
The personnel director of a large hospital is interested in determining the relationship (if any) between an employee’s age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year. Employee 1 2 3 4 5 6 7 8 9 10 Age 30 50 40 55 30 28 60 25 30 45 Sick Days 7 4 3 2 9 10 0 8 5 2 Copy Data The estimated regression line and the standard error are given. Sick Days=14.310162−0.2369(Age) se=1.682207se=1.682207 Find the 95% confidence interval for the average number of sick days an employee will take per year, given the employee is 26. Round your answer to two decimal places.
This table shows the minutes students spent studying for their science exam and the scores they received. Study time (min) 19 12 34 10 17 42 60 15 9 21 30 50 Exam score 82 78 90 78 85 97 100 85 73 90 91 98 Use a graphing calculator to model the data using a linear function. What is the correlation coefficient of the data? −0.74 −0.48 0.93 0.98
Scatter Plot Instructions: Use technology to create a scatter plot for the data below. Then find the answers to the following questions. (Note: You will not turn in the scatter plot for this question.) Weight (Ibs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 166 1. What is the response variable? Systolic Blood Pressure + 2. What is the explanatory variable? Weight 3. What is the equation of the linear regression line? y = a x (Round to the nearest hundredth, if necessary.) (Round to the 4. If person's weight is 150, what can we expect the systolic blood pressure to be? nearest whole number, if necessary.) This is an example of extrapolation + 5. The sample correlation coefficient is (Round to the nearest hundredth, if necessary.) This number indicates that there is a strong positive correlation between the explanatory and response variables. Please answer all parts of the question. Next page stv MacBook Air 20 F3 000 F4…
The data below are the number of absences and the final grades of 9 randomly selected students from a statistics class. Calculate the correlation coefficient, r. number of absences x 2 5 8 6 11 4 17 10 7 final grade y 73 94 57 78 84 100 88 82 84
Weight (lbs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 1 1. The sample correlation coefficient is _____________
Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below. Does an employee’s attitude affect their job performance? Performance 59 63 65 69 58 77 76 69 70 64 Attitude 72 67 78 82 75 87 92 83 87 78 Calculate the correlation coefficient, r, and describe the relationship, if any, between the variables 11.659, positive linear 4.837, positive linear 0.863, positive linear 0.745, positive linear 0.0013, positive linear
The data below was collected from manufacturer advertisements of their vehicles horsepower (x) and highway gas mileage (mpg=y). Use this data to answer the following questions. horsepower 146 250 340 350 390 190 220 mpg 33 28 15 17 11 35 42 1. Find the p-value to determine if there is a linear correlation between horsepower and highway gas mileage (mpg). Record the p-value below. Round to four decimal places.p-value==2. Is there a linear correlation between horsepower and highway gas mileage (mpg)? 3. If there is a linear correlation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. Be careful with your sign.r=r= 4. If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places.ˆy=y^=5. Using the data shown above, predict the the highway gas mileage (mpg) for a car that has a horsepower of 225. Round your final answer to two decimal…

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