(Solved) Use the following to answer the questions below:Fast food restaurants are required to publish ...

Use the following to answer the questions below:

Fast food restaurants are required to publish nutrition information about the foods they serve. Nutrition information for a random sample of McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. Output from a multiple regression analysis is provided.

The regression equation is Calories = 65.2 + 9.46 Total Fat (g) + 0.876 Cholesterol (mg) + 0.131 Sodium (mg)

Predictor	Coef	SE Coef	T	P
Constant	65.18	31.41	2.08	0.062
Total Fat (g)	9.464	1.710	5.53	0.000
Cholesterol (mg)	0.8762	0.6366	1.38	0.196
Sodium (mg)	0.13149	0.04790	2.75	0.019

S = 39.4529 R-Sq = 95.5% R-Sq(adj) = 94.3%

Analysis of Variance

Source	DF	SS	MS	F	P
Regression	3	362171	120724	77.56	0.000
Residual Error	11	17122	1557
Total	14	379293

A boxplot of the residuals and a scatterplot of the residuals versus the predicted values are provided. Discuss whether the conditions for a multiple linear regression are reasonable by referring to the appropriate plots.

A vertical boxplot depicts the results of the conditions for a multiple linear regression. The vertical axis is labeled, Residuals and has markings from negative 75 to 50 in increments of 25. The whiskers of the box plot range from negative 60 to 55 and the box ranges from negative 25 to 30 with a median at negative 5. All values are approximate.

A vertical boxplot depicts the results of the conditions for a multiple linear regression. The vertical axis is labeled, Residuals and has markings from negative 75 to 50 in increments of 25. The whiskers of the box plot range from negative 60 to 55 and the box ranges from negative 25 to 30 with a median at negative 5. All values are approximate.

A scatterplot with regression line shows the relationship between predicted calories and residual. The horizontal axis is labeled, Predicted calories and has markings from 200 to 800 in increments of 100. The vertical axis is labeled, Residual and has markings from negative 75 to 50 in increments of 25. The dots are randomly scattered throughout the graph. The concentration of the dots is more between the points 230 and 550 on the horizontal axis and between the points, negative 30 and 30 on the vertical axis. The regression line starts from (198, 0), extends horizontally to the right, and ends at (802, 0). Below the line, eight dots are plotted at the points, (300, negative 5), (340, negative 65), (410, negative 25), (490, negative 50), (500, negative 15), (540, negative 30), (670, negative 25), and (780, negative 10). Above the line, seven dots are plotted at the points, (230, 15), (320, 35), (360, 30), (400, 15), (500, 55), (630, 10), and (710, 55). All values are approximate.

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Use the following to answer the questions below:Fast food restaurants are required to publish ...

Statistics: Unlocking the Power of Data

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