Question

In: Statistics and Probability

The table below shows the price per portion and the calories per portion for several different...

The table below shows the price per portion and the calories per portion for several different snack foods (source: USDA.gov).

Snack

Price Per Portion

Calories Per Portion

Chocolate Candy

0.24

262

Cookies

0.16

123

Corn chips

0.21

140

Crackers

0.16

114

Cupcakes

0.34

174

Danish

0.47

271

Donuts

0.36

235

Fruit Rolls

0.28

82

Graham crackers

0.14

102

Granola Bars

0.3

119

Ice Cream

0.39

196

Muffins

0.83

369

Pizza

0.63

252

Popsicles

0.34

80

Potato Chips

0.27

169

Pretzels

0.25

168

Pudding

0.38

152

Sandwich Crackers

0.2

183

Toaster Pastries

0.35

299

Tortilla Chips

0.21

161

a. Identify the scatter plot for the data.

Select your answer from one of the following options.

  • a.Graph A
  • b.Graph B
  • c.Graph C

b. Use the Google Sheets command =CORREL to find the correlation coefficient r. Round your answer to 3 decimal places.

c. Use the commands =SLOPE and =INTERCEPT to find the line of best fit. Select the equation of the line of best fit from the choices below:Select your answer from one of the following options.

  • a.y = 0.0015x + 0.0435
  • b.y = 182.6x + 0.33
  • c.y = 331.5x + 74.7
  • d.y = 0.33x + 182.6
  • e.y = 74.7 + 331.5x

d. Use the regression equation to predict the calories per portion for a snack that costs 0.24 per portion. Round your answer to the nearest whole number.

e. Chocolate Candy costs 0.24 per portion and has 262 calories. Using your answer to part c., calculate the residual for chocolate candy.

Solutions

Expert Solution

a) -

Scatter plot

b) -

b) Correlation coefficient r syntax is =CORREL(C3:C22,B3:B22)
0.715551023
0.716

Correlation coefficient r is 0.716.

c) -

c) slope of a line is given by syntax =SLOPE(C3:C22, B3:B22)
331.485428
331.5

Slope of the regression line is 331.5 .

intercept of line is given by syntax =INTERCEPT(C3:C22,B3:B22)
74.65149319
74.7

Intercept of regression line is 74.7.

Regression equation is -

Y = 74.7 + 331.5X

Option C is correct.

d) -

Predicted value for the calories per portion for a snack that costs 0.24 per portion -

Y = 74.7 + 331.5X = 74.7 + 331.5(0.24) = 74.7 + 79.56 = 154.26 154

calories per portion for a snack that costs 0.24 per portion is 154.

e) -

Residual = Y - = 262 - 154 = 108

Residual for the choclate candy is 108.


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