A doctor wanted to determine whether there is a relation between a
male's age and his HDL (so called good) cholesterol. He randomly selected 17 of his patients and determined their cholesterol.

a. Determine the least-squares regression equation from the sample
data.

a) Assume the least-squares regression equation is Y = b X + a, we can use the formula:
<br>Let x=X-mean(X) and y=Y-mean(Y) and mean(X)=45, mean(Y)= 44.94
<br>b = SUM(x*y)/SUM(x^2) = -0.13 and ...

Solution Summary

The solution discusses A doctor wanted to determine whether there is a relation between a
male's age and his HDL (so called good) cholesterol. He randomly selected 17 of his patients and determined their cholesterol.

... Linear Relationship Summary Revisiting R-squared and p ... the equation of the least squares regression line that ... relationship 1650 1136 between square footage and ...

... SST=143. R Square = 1- (24/143) = 0.8321. ... 83.21% of y is explained by the regression equation. 2. A. Determine the least squares regression line and calculate r. ...

... 3.Write the least squares regression equation for the airport ... you see a scattergraph, a regression output tab ... and an interpretation of the R square (coeffic of ...

... The least squares regression line minimizes the residual sum of squares. ... The residual is the positive square root of this or ... 3. The total sum of squares is the ...

... value of the y-intercept for the least squares regression line for ... Round to at least two decimal places ... Statistics Multiple R 0.88957 R Square 0.791334 Adjusted ...

... (d) Determine the unadjusted forecasting MSE (mean squared error). ...LEAST LEAST SQUARES REGRESSION LINE For the data below Year Automobile Sales Year Automobile ...