# Regression Equation

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1. Given the number of contacts and sales made by a company over two months, compare the numbers each month and determine the regression equation and the estimated sales if 40 contacts are made. Also, determine the standard of error estimate ...

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##### Solution Summary

1. Given the number of contacts and sales made by a company over two months, compare the numbers each month and determine the regression equation and the estimated sales if 40 contacts are made. Also, determine the standard of error estimate ...

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See attachment please.

Using Excel, we get the following table.

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.975362

R Square 0.951331

Adjusted R Square 0.945248

Standard Error 9.310446

Observations 10

ANOVA

df SS MS F Significance F

Regression 1 13555.42 13555.42 156.3768 1.56E-06

Residual 8 693.4752 86.6844

Total 9 14248.9

Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%

Intercept -12.201 6.559576 -1.86003 0.099925 -27.3275 2.925382 -27.3275 2.925382

X Variable ...

###### Education

- BSc , Wuhan Univ. China
- MA, Shandong Univ.

###### Recent Feedback

- "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
- "excellent work"
- "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
- "Thank you"
- "Thank you very much for your valuable time and assistance!"

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