The Zebra Wild Game Company sells exotic game to high end restaurants throughout Asia. The sales manager wants to determine what, if any, relationship exists between the pounds/week of game sold by 24 sales persons and the advertising dollars spent (in hundreds of dollars/week).

Attached is the Minitab regression output. The dependent variable is Sales (in ponds/week) and the independent variable Advertising (in hundreds of dollars/week).

Use the Minitab output to identify and interpret the p-values and the confidence interval for the regression coefficient.

p-value for the regression coefficient =
*Round answer to four decimal places.

Interpretation of the p-value:
A. This is the probability of correctly concluding that there is a relationship between sales and advertising expenditures.
B. This is the probability of being incorrect in concluding that there is a relationship in the population between sales and levels of advertising expenditures.
C. This is the probability that, in the population, each additional dollar of expenditure on advertising will result in an increase in sales.
D. This is the probability that if we take many sales persons, the mean sales will be between these values.
E. This value has no practical interpretation.

95% confidence interval for the regression coefficient: [ ] , [ ]
*Round answer to four decimal places.

A. this says we are 95% confident that, for the given expenditure of $200, for an individual sales person, their sales will be between these values.
B. This says we are 95% confident that, in the population, each additional degree of increase in sales will result in an increase of advertising expenditures between these values.
C. This says we are 95% confident that, in the population, each additional increase in advertising expenditure of $100 will result in an increase in sales between these values.
D. This says we are 95% confident that over many sales persons, the given advertising expenditure of $200 will result in mean sales between these values.
E. This confidence interval has no practical interpretation.

The solution identifies p-value and confidence interval for regression coefficient of a simple linear regression model from monitab output. Interpretations of the results are also provided.

SimpleLinearRegression and Multiple Regression.
I'd like to ask whether you think multiple regression (the use of more IV's) is always better than simpleregression? Why or why not?
What problems may exist with multiple regression that are not an issue for simplelinearregression?

Please see the attached file for complete questions.
1. The following results were obtained as part of a simplelinearregressionanalysis.
We wish to test Ho: β = 0. The computed value of the test statistics is ________
2. The following results were obtained as part of a simplelinearregressionanalysis.
For

Application of simplelinearregressionanalysis to the estimation of a demand equation has yielded the following
Q = 24 - 2P
If the current product price is P=$6 and the quantity sold per time period is Q = 10, then the erro (e) for the current time period is equal to (actual quantity sold - estimated quantity sold)?
1

For the y and x values listed in file XR15066, obtain the simplelinearregression equation, then analyze the residuals by (a) constructing a histogram, (b) using a normal probability plot, (c) plotting the residuals versus the x values and (d) plotting the residuals versus the order in which they were observed. Do any of the as

1)Given the regression equation: Y = 1.3479 + 0.3978 X, what is the fitted value (orY ? ) if X = -3?
2) Calculate bo, b1 for the information provide below
X Y
-2 9
0 5
-0.5 7
1 100

SimpleLinearRegression -- Sales
"A recent study was conducted to determine the relation between advertising expenditures and sales of widgets for the first year of production.
"
You would like to determine the effect of your ad expenditures in predicting sales.
the following data was colle

If the t ratio for the slope of a simplelinearregression equation is equal to 1.614 and the critical value of the t distribution at the 1% and 5% levels of significance, respectively, are 3.499 and 2.365 is the slope:
not significantly different from zero
significantly different from zero at both the 1% and 5% levels
sign

You are given the following results from computations pertaining to a simplelinearregression application.
Y=5,723.0+145x
n= 25
Sb1=10.80
a) based on the statistics supplied, can you conclude that there is a significant linear relationship between x and y? test at a significant level of 0.05
b) interpret the slope coef

Regressionanalysis was used to estimate the following linear trend equation:
St = 10.5 + 0.25t
Use this equation to forecast the value of the dependent variable (St) in time period of 10.
10.75
13
35.5
2.5