Using the following Minitab output write the straight line (least squares) equation and

the correlation coefficient.
The regression equation is
Sales = 27.2 + 0.252 Exp
Predictor Coef SE Coef T P
Constant 27.195 5.781 4.70 0.005
Exp 0.2517 0.4201 0.60 0.575
S = 8.97833 R-Sq = 6.7%
I need to plot a regression line Two points are needed. Give calculations
Can someone help with this?

To write the straight line (least squares) equation, we can use the Minitab output provided. The equation can be written as:

Sales = 27.195 + 0.2517 Exp

Here, Sales represents the dependent variable, and Exp represents the independent variable. The coefficients in front of each variable (27.195 and 0.2517) are the estimated values obtained from the regression model.

The correlation coefficient (also known as the coefficient of determination) is represented by R-Sq in the Minitab output. In this case, R-Sq is equal to 6.7%, indicating that the model explains approximately 6.7% of the variability in the sales data.

To plot the regression line, we need two points. We can choose any two values for the independent variable, Exp, and calculate the corresponding values for Sales using the equation obtained from the regression analysis.

For example, let's say we want to calculate Sales for Exp values of 10 and 15:

For Exp = 10:
Sales = 27.195 + 0.2517 * 10 = 29.712

For Exp = 15:
Sales = 27.195 + 0.2517 * 15 = 30.9345

Using these two points, (10, 29.712) and (15, 30.9345), you can plot the regression line on a graph. The x-axis will represent Exp, and the y-axis will represent Sales.