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

⇒    

⇒    

⇒    

you have to put the graph on here with the question

step-by-step explanation:

step-by-step explanation:

points a and b are equidistant from the desired line, so the line you find by using them will go through point r.

using points other than a and b will give the desired line only if they are equidistant from r. if they are randomly located, the perpendicular line you create will not necessarily go through point r, hence will not be a solution to the problem.