6. Parker, Inc. used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics Multiple R 0.8274 R Square 0.8229 Observations 26 Coefficients Standard Error T Stat Intercept 23,859 5,196 3.65 Production (X) 3.13 0.2765 11.19 What total cost would Parker predict for a month in which they sold 3,500 units

"34,814" is the correct solution.

Step-by-step explanation:

The given values are:

Intercept coefficient,

Production coefficient,

Units sold,

x = 3,500

Now,

The total cost will be:

⇒  

On substituting the estimated values, we get

⇒    

⇒    

⇒    

if a = 1,   and b = 2, then the answer is 47.99999999. if you round that to the nearest whole number, the answer is 48.

150.6

all i did was i multiplied 5.02 by 30