Answer:
Explanation:
Given that the owner of an ice cream shop wants to determine whether there is a relationship between ice cream sales and temperature. The owner collects data on temperature and sales for a random sample of 30 days and runs a regression to determine if there is a relationship between temperature (in degrees) and ice cream sales.
The null hypothesis would have been slope =0 with alternate slope not equal to 0
This is a two tailed test. Let alpha = 5%
p value = 0.04(given)
p <0.05 our alpha
Hence we reject null hypothesis.
The p value 0.04 states that it is less than 0.05 which indicates that there should be a linear relationship between temperature and ice cream sales.