Describe the fit of the regression


Discuss the below:

Q1: (a) Make an Excel scatter plot. What does it suggest about the population correlation between X and Y?

Part-Time Weekly Earnings ($) by College Students           WeekPay

            Hours Worked (X)                      Weekly Pay (Y)

                     10                                              93

                     15                                              171

                     20                                              204

                     20                                             156

                     35                                             261

Q2: (a)Make an Excel scatter plot. What does it suggest about the population correlation between X and Y? (Add the equation to the chart)

      Data Set Telephone Hold Time (min.) for Concert Tickets           CallWait

                                Operators (X)                   Wait Time (Y)

                                        4                                       385

                                        5                                       335

                                        6                                       383

                                        7                                       344

                                        8                                       288

Q3: (a) Interpret the slope of the fitted regression HomePrice = 125,000 + 150 SquareFeet. (b) What is the prediction for HomePrice if SquareFeet = 2,000? (c) Would the intercept be meaningful if this regression applies to home sales in a certain subdivision?

Q4: Choose one of these three data sets. (a) Make a scatter plot. (b) Let Excel estimate the regression line, with fitted equation and R2. (c) Describe the fit of the regression.

Commercial Real Estate (X = assessed value, $000; Y = floor space, sq. ft.)

                                 Assessed                        Size

                                  1,796                           4,790

                                  1,544                           4,720

                                   2,094                           5,940

                                   1,968                           5,720

                                   1,567                           3,660

                                   1,878                           5,000

                                      949                           2,990

                                      910                           2,610

                                   1,774                           5,650

                                   1,187                           3,570

                                   1,113                           2,930

                                      671                           1,280

                                   1,678                           4,880

                                      710                           1,620

                                      678                           1,820

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Applied Statistics: Describe the fit of the regression
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