sanjay In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ = 25.2 + 5.5x₁ For this estimated regression equation SST = 1,500 and SSE = 530. (a) At a = 0.05,test whether X1 is significant. State the null and alternative hypotheses. OH₁: B₁ = 0 H₂: B₁ * 010 Ho: B₁ 0 H₂: B₁ = 0 0 Ho: Po = 0 Ha: Bo #0 Ọ Ho: Bo #0 Ha: Po = 0 Find the value of the test statistic. (Roundyour answer to two decimal places.) F = Find the p-value. (Round your answer to three decimal places.) p-value = ls X₁ significant? O Do not reject Ho. We conclude that x₁ is not significant. O Do not reject Ho.We conclude that x₁ is significant.

Answer The regression equation [Y] = 25.2 + 5.5x1The number of predictors = 1SST = 1500SSE = 530

Answered: nvolving 27 observations, the following…

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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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?
For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracy
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For the following exercises, consider the data in Table 5, which shows the percent of unemployed in a city ofpeople25 years or older who are college graduates is given below, by year. 41. Based on the set of data given in Table 7, calculatethe regression line using a calculator or othertechnology tool, and determine the correlationcoefficient to three decimal places.
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-0.629 b=39.045 r2=0.806404 r=-0.898 Use this to predict the number of situps a person who watches 6.5 hour(s) of TV can do, and please round your answer to a whole number.
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A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.721 b=24.707 r2-0.919681 r=-0.959 Use this to predict the number of situps a person who watches 11.5 hours of TV can do (to one decimal place) Question Help: Message instructor
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A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=a+bx b=-0.736 a=32.667 r2=0.576081 r=-0.759 Use this to predict the number of situps a person who watches 6 hours of TV can do.

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