A sales 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 ANOVA shows the following results: ANOVA df SS MS F Significance F Regression 1.00 13555.42 13555.42 156.38 0.00 Residual 8.00 693.48 86.68 Total 9.00 14248.90 What is the value of the standard error of estimate

9.31

Step-by-step explanation:

Given the following :

- - - - - - - - - - df - - - - - SS - - - MS - - - F - - - signiF

Regression - 1 - 13555.42 - 13555.41 - 156.38 - 0

Residual - - 8.00 - 693.48 - - 86.68

Total - - - - 9.00 - 14248.90

What is the value of the standard error of estimate?

The standard error estimate :

Mean square error or Residual (MSE)

Standard Error (SE): √MSE

MSE = 86.68

Standard Error = √86.68

Standard error = 9.3102094

= 9.31

step-by-step explanation:

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the correct answer is b. negative exponential growth.

step-by-step explanation:

you can tell it's an exponential function because it decreases rapidly then levels out and never touches the x-axis.

it is negative because the y-axis decreases as the x-axis increases.

therefore it is a negative exponential growth graph.

hope i !