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- Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?Is a linear model appropriate for the relationship between these two variables? Discuss the scatterplot, correlation coefficient and residual plot to answer this question.
- What would we call March 2020’s data point? What happened at that point in time to cause this? The height in feet and number of stories of nine notable building in Atlanta are presented Please find the equation of the regression line for the given dates and construct graph y = mx+ b m = b = Please find out the correlation coefficient r. Please predict the number of stories for building height 635 feet. Hint: You can use formulas for m, b, and r from your chapter 9 of your PowerPoint theory file or use Excel program to speed up your calculation process. For assignment 3) use your graph from assignment 1) where x is 635 feet.COMPLETE 6 STEP HYPOTHESIS A study was conducted to determine if there was a linear relationship between a person's age and his/her peak heart rate. Complete a 6 step hypothesis test at an alpha level of 0.05 to determine if a significant correlation exists between age and peak heart rate.
- Examining the below R output, explain what model was selected for forecasting?The file MidCity Download MidCitycontains data on 128 recent sales in Mid City. For each sale, the file shows the neighborhood (1, 2, or 3) in which the house is located, the number of offers made on the house, the square footage, whether the house is made primarily of brick, the number of bathrooms, the number of bedrooms, and the selling price. Neighborhoods 1 and 2 are more traditional neighborhoods, whereas neighborhood 3 is a newer, more prestigious neighborhood. Conduct a regression analysis to understand, estimate and interpret the square footage of houses in Mid City. Use one Excel spreadsheet labeled P2 to show your work for this problem. Home Nbhd Offers Sq Ft Brick Bedrooms Bathrooms Price 1 2 2 1790 No 2 2 228600 2 2 3 2030 No 4 2 228400 3 2 1 1740 No 3 2 229600 4 2 3 1980 No 3 2 189400 5 2 3 2130 No 3 3 239600 6 1 2 1780 No 3 2 229200 7 3 3 1830 Yes 3 3 303200 8 3 2 2160 No 4 2 301400 9 2 3 2110 No 4 2 238400 10 2 3 1730 No 3 3 208000 11 2 3 2030…Under what conditions would someone use correlation and/or regression analysis?
- Define familiar multiple regression model with a population regression function?In an ABA design, the second stage is used to: reduce the chance that fatigue effects will occur manipulate the independent variable measure the effect of the dependent variable establish a baselineNote that this uses minitab. Make a scatterplot that will enable you to predict BBAC from number of beers consumed. What is the correlation coefficient?
