Asales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. a regression analysis shows the following results what is the decision regarding the hypothesis if the slope equals zero
coefficients standard error t-stat p-value
intercept -12.20 6.56 -1.86 0.10
number of contacts 2.20 0.18 12.51 0.00
anova
df ss ms f significance f
regression 1.00 13555.42 13555.42 156.38 0.000
residual 8.00 693.48 86.68
total 9.00 14248.90
1. construct a regression for the above output 2. test a hypothesis to determine whether number of contact significantly increase the sale 3. how would you interpret the coefficient of number of contact 4. given the constructed model, determine whether the model will be considered a fit one?