Question

Find the equation of the regression line for the given data. Then construet a scatter plot of the data and draw the regression line. (Each pair of variables has a significant corrlaton.) Then use the regression equation to predict the value of y for each of the given x-valu meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. 120 330 alories, x odium 160 430 190 520 (a) x-17O calories (c) x 150 calories (b)x-90 calbries id) x 210 calories 480 380 290 Find the regression equation. Round to three decimal places as needed) Choose the correct graph below. A. с. D. (a) Predict the value of y forx 170. Choose the correct answer below. O A. 481.738 O B. 423.898 C. 537.418 O D. not meaningtulFind the equation of the regression line for the given data. Then construct a scatter plot of the dsta and drew the regression line. (Each pair of variables has s significant correlation.) Then use the regression equation to predict the value of y for each of the given x-val meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table belo 120 380 (a)% = 170 calories (c) x = 150 calories (b) x 90 calories (d) x 210 calories Calories, X 160 430 180 480 120 330 70 290 190 520 (b) Predict the value ofyfor-90. Choose the correct answer below. OA. 310.378 B. 537.418 c. 423.898 0 D. not meaningful (c) Predict the value of y forx 150, Choose the correct answer below. A. 423.898 B. 310.378 O c. 461.738 ⓔD. not meaningful (d) Predict the value ofyforx- 210. Choose the correct answer below OA, 310.378 B. 461.738 ° C. 537.418 O D. not meaningful

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Answer #1

data

x y
160 430
180 480
120 330
120 380
70 290
190 520

RESULT

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.968285642
R Square 0.937577085
Adjusted R Square 0.921971356
Standard Error 24.65447499
Observations 6
ANOVA
df SS MS F Significance F
Regression 1 36518.62745 36518.62745 60.07903226 0.001492752
Residual 4 2431.372549 607.8431373
Total 5 38950
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 140.0980392 35.62751033 3.932299448 0.01706995 41.18021254 239.0158659
x 1.892156863 0.244115678 7.751066524 0.001492752 1.214383082 2.569930643

y^= 140.098 + 1.892* x

600 500 400 300 200 100 160 180 200 80 100 120 140 20 40 60

option C) is correct graph

X Y^
170 461.7647059   A)
90 310.3921569   A)
150 423.9215686   A)
210 not meaningful D)
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