You work for an wholesaler that sells coffee to retail businesses. For each client, you have data on the total purchases made by the client (Puchases, measured in kilograms), the profit of each client (Turnover, measured in dollars), and the number of stores operated by each client (Stores, measured in number of stores). The data are given below

Puchases	Turnover	Stores
4682.94	475.47	1
4115.99	217.84	2
5474.46	317.19	1
15139.68	2372.76	2
8129.02	1154.54	2
13820.95	2141.79	2
6289.87	571.71	2
7234.01	825.55	1
4448.01	355.59	2
6699.00	515.43	3

Cut and paste the data into an Excel spreadsheet. Then run a multiple regression with Puchases as the dependent variable and Turnover and Stores as the independent variables. Which variables are statistically significant at a 10% level of significance.

Group of answer choices

Stores is statistically significant at a 10% level of signficance.

Turnover and Stores are not jointly significant at a 10% level of signficance.

Turnover and Stores are jointly significant at a 10% level of signficance.

Turnover is not statistically significant at a 10% level of signficance.

Stores is not statistically significant at a 10% level of signficance.

Turnover is statistically significant at a 10% level of signficance.