Concept explainers
a.
Create suitable displays to explore the relationships between Cost and Mwatts, and that between Cost and Date.
Interpret the finding.
b.
Create a regression model of Cost on Mwatts and explain the relationship.
c.
Create a scatterplot of residuals versus predicted values and explain the findings.
Create a normal probability plot or histogram of residuals, to test whether the four assumptions are satisfied.
d.
Conduct a t-test to test the significance of the slope coefficient at 5% level of significance and provide the conclusion.
e.
Calculate the estimated cost a 1,000-mwatt plant.
f.
Calculate the residuals.
Explain the implication of R-squared for the model.
Construct a plot of the residuals versus Date.
Explain whether the variable, Date can account for some of the remaining variability.
g.
Create a multiple regression model of Cost on both Mwatts and Date.
Compare the coefficients of the predictors in this model, with those in the previous model.
h.
Explain whether Mwatts and Date are expected to be correlated.
Construct a scatterplot and find the
Want to see the full answer?
Check out a sample textbook solutionChapter R Solutions
Stats: Data and Models
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman