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So confused about formulas and if there is a calculator online to input- can you

ID: 3247695 • Letter: S

Question

So confused about formulas and if there is a calculator online to input- can you help? thank you a million times!

A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using candy bar slaes as the dependent variabe, the company will conduct a simple linear regression on the data below:

regression statistics

observations=6

ANOVA                              dof         SS                MS                              F                  sifnificance F

regression                            1         3855.422     3855.422                  14.51346           .018946

residual                                 4          1062.578     265.6446      

total                                       5         4918          

                                     

                                  coefficients                   Error             t stat        p-value        lower 95%         Upper 95%

intercept                      161.3855                    26.16069    -6.16901    .003506       88.75183            234.0193

Price ($)                        -48.1928                    12.65017      -3.80965    .018946       -83.3153            -13.0703

a) referring to the info above, what is the estimated slope for the candy bar price and sales data?

b) what is the estimated Y-intercept for the candy bar price and sales data?

c)what is the coefficicent of correlation for these data?

d) what is the perentage of the total variation in candy bar sales explained by the regression model?

e) if the price of the candy bar is set at $2, what is the predicted sales to be?

Explanation / Answer

Hi, look at the two tables and you will find the answers to the questions below:

a. Slope is -48.1928

b. Y-intercept is 161.3855

c. Rsqaure is (3855.422/4918) = .7839 or 78.39%. This amount of total variation in candy bar sales

explained by the regression model

d. If price is candy bar is $2, then -48.1928*2 + 161.3855 = 65 is the sales amount

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