Regression Analysis. Regression analysis was run for Gaines Company, resulting in the following output $($this is based on the same data as the previous two exercises$)$: Round $v$ to the nearest cent and all

other amounts to the nearest dollar.

Regression Analysis

a$.$ The cost equation using the data from regression analysis is:

$Y=,+,x$

b$.$ Using the equation from above, substitute machine hours for $x$ as follows:

$Y,=,+,$ hours

c$.$ Using the equation from part a$,$ substitute machine hours for $x$ as follows:

$Y,=,+(,$ hours $)$

$Y,=,$ Regression Analysis. Regression analysis was run for Gaines Company, resulting in the

following output $($this is based on the same data as the previous two exercises$)$:

Required:

a$.$ Use the regression output given to develop the cost equation $Y=f+vx$ by filling in the dollar

amounts for $f$ and $v.$

b$.$ What would the company's estimated costs be if it used $70,000$ machine hours next month?

c$.$ What would the company's estimated costs be if it used $12,000$ machine hours next month?

Coefficients

y$-$intercept $445,639$

x variable $8\mathrm{.}54$

Required:

Use the regression output given to develop the cost equation Y $=$ f $+$ vX by filling in the dollar amounts for f and v$.$

What would the company$$s estimated costs be if it used $70,000$ machine hours next month?

What would the company$$s estimated costs be if it used $12,000$ machine hours next month?Round $v$ to the nearest cent and all

other amounts to the nearest dollar.

Regression Analysis

a$.$ The cost equation using the data from regression analysis is:

$Y=$

b$.$ Using the equation from above, substitute machine hours for $x$ as follows:

$Y=$

$+($

hours $)$

$Y=$

c$.$ Using the equation from part $a,$ substitute machine hours for $x$ as follows:

$Y,=,+(,$ hours $)$

$Y,=$