Question

In: Statistics and Probability

McDonald's Nutrition Data We have information on nutritional content of sandwiches and similar items at McDonald’s:...

McDonald's Nutrition Data

We have information on nutritional content of sandwiches and similar items at McDonald’s: Calories, grams of carbohydrates, milligrams of salt, and meat or non-meat item.

a. Create a dummy variable, Meat, for meat items.

b. Run a regression of Calories on Carbs, Salt and Meat. Write down the estimated regression.

c. Carry out a t-test for the coefficient on Meat. Interpret the results in the context of the problem.

d. Interpret the coefficient on Meat in the context of the problem.

Calories Carbs Salt Item
110 12 0.5123 Non-Meat
140 33 0 Non-Meat
170 10 6.7742 Meat
230 22 10.2597 Non-Meat
230 56 0 Non-Meat
240 23 6 Non-Meat
290 25 7.6136 Non-Meat
300 35 9.6512 Meat
320 30 4.3089 Meat
320 40 5.0549 Non-Meat
340 52 4.1593 Non-Meat
360 46 5.8974 Non-Meat
370 31 5.5147 Non-Meat
390 46 3.9286 Non-Meat
440 51 6.5741 Non-Meat
440 79 0.8564 Non-Meat
450 37 4.5946 Meat
480 30 3.3721 Meat
500 26 6.6667 Meat
500 95 1.0353 Non-Meat
500 95 0.8235 Non-Meat
510 35 9.084 Meat
550 52 4.3023 Meat
570 32 5.1777 Meat
610 32 5.7073 Meat
650 38 8.4656 Meat
680 53 3.3813 Meat
710 67 4.5627 Meat
780 55 4.5875 Meat
920 53 2.8895 Meat
1020 55 3.8624 Meat

  

Solutions

Expert Solution

1)

Calories Carbs Salt Item Meat
110 12 0.5123 Non-Meat 0
140 33 0 Non-Meat 0
170 10 6.7742 Meat 1
230 22 10.2597 Non-Meat 0
230 56 0 Non-Meat 0
240 23 6 Non-Meat 0
290 25 7.6136 Non-Meat 0
300 35 9.6512 Meat 1
320 30 4.3089 Meat 1
320 40 5.0549 Non-Meat 0
340 52 4.1593 Non-Meat 0
360 46 5.8974 Non-Meat 0
370 31 5.5147 Non-Meat 0
390 46 3.9286 Non-Meat 0
440 51 6.5741 Non-Meat 0
440 79 0.8564 Non-Meat 0
450 37 4.5946 Meat 1
480 30 3.3721 Meat 1
500 26 6.6667 Meat 1
500 95 1.0353 Non-Meat 0
500 95 0.8235 Non-Meat 0
510 35 9.084 Meat 1
550 52 4.3023 Meat 1
570 32 5.1777 Meat 1
610 32 5.7073 Meat 1
650 38 8.4656 Meat 1
680 53 3.3813 Meat 1
710 67 4.5627 Meat 1
780 55 4.5875 Meat 1
920 53 2.8895 Meat 1
1020 55 3.8624 Meat 1

b)

Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 2.797382 100.0743 0.027953 0.977905 -202.538 208.1329 -202.538 208.1329
Carbs 6.28991 1.404727 4.477673 0.000124 3.407647 9.172173 3.407647 9.172173
Salt 7.167511 10.79579 0.663917 0.512373 -14.9836 29.31864 -14.9836 29.31864
Meat 282.7091 51.56453 5.482626 8.35E-06 176.9074 388.5107 176.9074 388.5107

y = 2.797382 + 6.28991 x1 + 7.167511 x2 +282.7091 x3

c)

Ho:   ß = 0                  
Ha:   ß ╪ 0                  
                      
n =   31                  
alpha,α =    0.05                  
estimated slope=   282.7090598                  
std error =    51.56453084                  
                      
t-test statistic =    t = estimated slope / std error =   282.7090598   /   51.56453084   =   5.483
                      
Df =    n - 2 =   29              
p-value =    0.0000   [excel function: =t.dist.2t(t-stat,df) ]

d)


decision:   p value < α , so, reject the null hypothesis                  
                      
Hence Meal Coefficient cannot be ignored.

  

Please revert back in case of any doubt.

Please upvote. Thanks in advance.


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