Run a multiple regression that includes five possible cost drivers. You should omit any redundant variables that are perfectly

correlated.

a$.$ What percentage of the total variation in operating cost can be explained by all five cost drivers combined?

Note: Round your answer to the nearest whole percentage.

Percentage of total variation

$\%$

b$.$ What percentage of the variation in operating cost is NOT explained this by this model?

Note: Round your answer to the nearest whole percentage.

Percentage of variation

$\%$

Use the multiple regression model to predict the total annual operating cost for next year if the company expects $170,000$ total

meals produced $($donated and customer meals combined$),8,000$ direct labor hours, $30,000$ meal kits delivered, $150$ new menu items,

and $750$ shipments of donated meals.

Be sure to multiply the intercept by $52$ weeks to convert from weekly to annual fixed cost.

Note: Round your final answer to the nearest $$10,000($to avoid rounding errors in the individual coefficients$).$

Total annual operating cost for next year $$260,000$