Question

In: Statistics and Probability

Annabel, a retail analyst, has been following Under Armour, Inc., the pioneer in the compression-gear market....

Annabel, a retail analyst, has been following Under Armour, Inc., the pioneer in the compression-gear market. Compression garments are meant to keep moisture away from a wearer’s body during athletic activities in warm and cool weather. Annabel believes that the Under Armour brand attracts a younger customer, whereas the more established companies, Nike and Adidas, draw an older clientele. In order to test her belief, she collects data on the age of the customers and whether or not they purchased Under Armour (1 for Under Armour, 0 otherwise). A portion of the data is shown in the accompanying table.

Under Armour Age
1 30
0 19
0 34
0 29
1 39
1 24
0 34
0 17
1 16
0 22
0 38
0 33
1 22
0 44
0 33
1 19
0 43
0 41
0 32
0 21
0 39
0 42
0 38
0 45
0 35
0 30
0 40
0 28
0 21
1 24

a-1. Use the appropriate statistical software to estimate a logit model using Under Armour as the response variable and age as the explanatory variable. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.)

Coefficient
Intercept
Age


a-2. Compute the predicted probability of an Under Armour purchase for a 20-year-old customer and a 30-year-old customer. (Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.)

ŷ
20-year-old customer
30-year-old customer

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