Let x represent years coded as 1, 2, 3, . . . for years starting in 1980, and lety represent the numbers of points scored in each Super Bowl from 1980. Using the data from 1980 to the last Super Bowl at the time of this writing, we obtain the following values of R2 for the different models: linear: 0.0185; quadratic: 0.103; logarithmic: 0.000557; exponential: 0.0253; power: 0.00264. Based on these results, which model is best? Is the best model a good model? What do the results suggest about predicting the number of points scored in a future Super Bowl game?
Answer to relevant QuestionsIn Exercise 2, the quadratic model results in R2 = 0.103. Identify the percentage of the variation in Super Bowl points that can be explained by the quadratic model relating the variable of year and the variable of points ...The table lists intensities of sounds as multiples of a basic reference sound. A scale similar to the decibel scale is used to measure the sound intensity. Construct a scatterplot and identify the mathematical model that ...Listed below in order by row are the annual high values of the Dow Jones Industrial Average for each year beginning with 1990. Use only the first 10 values (for 1990— 1999) to find the best model and then predict the value ...Refer to the sample data given in Exercise 1 and find the multiple regression equation with the response (y) variable of “interval-after” time and predictor (x) variables of duration and “interval-before” time. ...Construct the graph that is most effective in depicting the religious affiliations of members of Congress. The members of Congress have these religious affiliations: Catholic (156), Jewish (39), Protestant (304), Mormon ...
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