Find the equation of the regression linethen construct a scatter plot of the data and draw the regression linethen use the regression equation to predict the value of y for each of the given x values, if meaningful. If the x-values is not meaningful to predict the value of y, explain why not.A) x=5 wins B) x=10 wins C) x=21 wins D) x=15 wins The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season.| Wins, x | Earned run average, y ||---------|-----------------------|| 9 | 5.03 || 11 | 4.74 || 12 | 4.27 || 14 | 3.74 || 16 | 3.87 || 17 | 3.67 || 18 | 2.68 || 20 | 2.79 |i) Find the equation of the regression line.ii) Then construct a scatter plot of the data and draw the regression line.iii) Then use the regression equation to predict the value of y for each of the given x-values; if meaningful. If the x-value is not meaningful to predict the value of y, explain why not.- A) x = 5 wins- B) x = 10 wins- C) x = 21 wins- D) x = 15 wins

Steps to construct scatter plot in Excel: Enter the data for x and y in Excel sheet>Select the columns of x and y> Insert>“Insert scatter or bubble chart” option>Scatter under Charts>Under chart elements, select Exponential Trend line. Excel Output: From the output, the regression equation is, Y=-0.1849X+6.3553. A) x=5 wins Y=-(0.1849*5)+6.3553 =5.4308 B) x=10 wins Y=-(0.1849*10)+6.3553 =4.5063 C) x=21 wins Y=-(0.1849*21)+6.3553 =2.4724 D) x=15 wins Y=-(0.1849*15)+6.3553 =3.5818

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then use the regression equation to predict the value of y for each of the given x values, if meaningful. If the x-values is not meaningful to predict the value of y, explain why not. A) x=5 wins B) x=10 wins C) x=21 wins D) x=

then use the regression equation to predict the value of y for each of the given x values, if meaningful. If the x-values is not meaningful to predict the value of y, explain why not. A) x=5 wins B) x=10 wins C) x=21 wins D) x=

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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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. 170 480 Calories, x Sodium, y 560 Find the regression equation. ŷ=x+ (Round to three decimal places as needed.) Choose the correct graph below. OA. 0ff 0 200 150 430 Calories 130 320 a 130 380 O B. 560 0 80 250 200 G Calories (a) Predict the value of y for x = 160. Choose the correct answer below. OA. 390.863 OB. 440.983 OC. 591.343 O D. not meaningful (b) Predict the value of y for x = 90. Choose the correct answer below. 190 510 (a) x (c) x 160 calories 140 calories O C. A 560+ 0-T 0 200 Calories (b) x = 90 calories (d) x = 220 calories OD. 560- 0 200 Calories Q
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n order for applicants to work for the foreign-service department, they must take a test in the language of the country where they plan to work. The data below shows the relationship between the number of years that applicants have studied a particular language and the grades they received on the proficiency exam. Find the equation of the regression line for the data. given Number of years, x 4 5 3 6 2 7 3 Grades on test, y 61 68 75 82 73 90 58 93 72 O A. y 6.910x+46.261 O B. -46.261x +6.910 O C. =6.910x-46.261 O D. = 46.261x-6.910 Next Time Remaining: 01:02:25 74°F Mostly 五 TTL
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 (b) x = 649 feet (d) x = 724 feet 766 620 520 508 494 484 (a) x = 503 feet 51 46 44 43 39 38 (c) x = 318 feet Find the regression equation. (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. O B. O C. O D. 60- 60- 60 60- 0- 800 800 800 Height (feet 800 Height (feet) Height (Teet) Stories Stories: