A data set is given below. (a) Draw a scatter diagram. Comment on the type of relation that appears to exist between x and y. (b) Given that x = 3.8333, s, = 2.0412, y= 3.4167, s, = 1.6702, and r= - 0.9435, determine the least-squares regression line. (c) Graph the least-squares regression line on the scatter diagram drawn in part (a). 1 4 4 6 y 4.9 5.4 4.0 3.2 1.3 1.7 (a) Choose the correct graph below. O B. Ay 6- 6- 0- 0- 6 6 There appears to be a linear, negative relationship. (b) ý = _x+ (O (Round to three decimal places as needed.)

A data set is given below. (a) Draw a scatter diagram. Comment on the type of relation that appears to exist between x and y. (b) Given that x = 3.8333, s, = 2.0412, y= 3.4167, s, = 1.6702, and r= - 0.9435, determine the least-squares regression line. (c) Graph the least-squares regression line on the scatter diagram drawn in part (a). 1 4 4 6 y 4.9 5.4 4.0 3.2 1.3 1.7 (a) Choose the correct graph below. O B. Ay 6- 6- 0- 0- 6 6 There appears to be a linear, negative relationship. (b) ý = _x+ (O (Round to three decimal places as needed.)

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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A data set is given below. (a) Draw a scatter diagram. Comment on the type of relation that appears to exist between x and y. (b) Given that x- 3.8333, s, = 2.4014, y = 3.7500, s, = 1.8876, and r= - 0.9553, determine the least-squares regression line. (c) Graph the least-squares regression line on the scatter diagram drawn in part (a). 2 4 6. y 6.0 5.8 4.3 2.6 1.7 2.1 (a) Choose the correct graph below. O A. В. OC. O D. Ay 6- Ay 6- Ay 6- 0- 6. There appears to be relationship. (b) y =x+ (D (Round to three decimal places as needed.) %3D (c) Choose the correct graph below. O A. O B. С. O D. 本y 6- 6- 6- 6- Click to select your answer(s).
A data set is given below. (a) Draw a scatter diagram. Comment on the type of relation that appears to exist between x and y. (b) Given that x = 3.8333, sx = 2.0412, y = 3.8833, sy = 1.5651, and r= -0.9338, determine the least-squares regression line. (c) Graph the least-squares regression line on the scatter diagram drawn in part (a). X y O A. 1 2 4 4 6 5.2 5.8 4.5 3.6 2.0 (a) Choose the correct graph below. Q 6 6 2.2 D There appears to be a linear, negative relationship. (b) y = x + ( (Round to three decimal places as needed.) B. 6- 0 Y ← O C. 6- 0 .. O D. Ay 67 0-
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The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below. Click the icon to view the absence count and final exam score data Click the icon to view a table of critical values for the correlation coefficient. ..... he final exar (a) Find the least-squares Reference Absences and final exam scores (Round to three decimal Critical Values for Correlation Coefficient answer box (b) Interpret the slope an (Round to three decimal No. of 9. absences, x 0 1 2 3 4 5 6 7 3 0.997 t appropriate O A. For every addition 0.950 Final 86.7 83.6 80.2 78.3 73.5 64.7 72.2 65.9 65.9 O B. For every addition erage final e exam score, y 88.4 5 0.878 O C. The average final 0.811 terpret the sl 0.754 O D. It is not appropria 8 0.707 Print Done (c) Predict the final exam 6. 0.666 y =(Round to two de 10 0.632 11 0.602 Compute the residual. 12 0.576 (Round…
An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage. v. The une ory tor ine most recent m odel year. Complete parts (a) through (d) accompanying data represent the weights of various domestic cars and their miles per gallon in BEE Click here to view the weight and gas mileage data (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. y = 0.00702 * + (43.2) (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.) (b) Interpret the slope and y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice.answer trom part a to find this answer O A. For every pound added to the weight of the car, gas mileage in the city will decrease by mile(s) per gallon, on average. A weightless car will get miles per gallon, on averag B. For every pound added to the weight of the car, gas…
(b)
A data set is given below. (a) Draw a scatter diagram. Comment on the type of relation that appears to exist between x and y. (b) Given that x= 3.3333, s= 2.5033, y = 4.0667, s, = 1.9449, and r= - 0.9585, determine the least-squares regression line. (c) Graph the least-squares regression line on the scatter diagram drawn in part (a). 3 4 5.8 6.3 5.1 3.4 1.8 2.0 重 (a) Choose the correct graph below. OA. O B. OD. 本y 7- Ay 本y 7- AY 7- 0- 0. 0- 0. 6. There appears to be relationship. (b) ŷ =[]x+ (D (Round to three decimal places as needed.) (c) Choose the correct graph below. O A. О В. OC. O D. Ay 7- Ay 7- 0- 0. 9. 6. O Time Remaining: D TCOA2334403 U 10-8-2014 MAIN TCOA2330401 (2) Q 出

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In baseball, two statistics, the ERA (Earned Run Average) and the WHIP (Walks and Hits per Inning Pitched), are used to measure the quality of pitchers. For both measures, smaller values indicate higher quality. The following computer output gives the results from predicting ERA by using WHIP in a least-squares regression for the 2017 baseball season. Variable DF Estimate SE T Intercept 1 -5.0 0.26 - 19.3 WHIP 1 6.8 0.14 47.4 Which of the following statements is the best interpretation of the value 6.8 shown in the output? ERA is predicted to increase by 6.8 units for each 1 unit increase of WHIP. WHIP is predicted to increase by 6.8 units for each 1 unit increase of ERA. For a pitcher with 0 units of WHIP, the ERA is predicted to be approximately 6.8 units. For a pitcher with 0 units of ERA, the WHIP is predicted to be approximately 6.8 units. Approximately 6.8% of the variability in ERA is due to its linear relationship with WHIP.