Please do not use excel. (b)Consider a regression line that goes through the origin with the following equationY = Bx; +8,, j =1,2,..,n.Find the estimator of 6. B. Appendix: QUESTION 4SUMMARY OUTPUTRegression StatisticsMultiple RR SquareAdjusted R Square0.453513350.205674360.16154515Standard Error16.174739Observations20ANOVAdfSSMSFSignificance FRegression11219.3507281219.3507284.660731440.044607262Residual184709.199272 261.6221818Total195928.55CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Intercept32.5059144712.63862114 2.571951015 0.0191970495.953156759 59.058672180.4710646040.21819934 2.158872724 0.0446072620.012644801 0.929484407

In regression we predict the dependent variable based on the value of independent variables.

Answered: (b) Consider a regression line that…

Trigonometry (MindTap Course List)

10th Edition

ISBN:9781337278461

Author:Ron Larson

Publisher:Ron Larson

Chapter6: Topics In Analytic Geometry

Section6.4: Hyperbolas

Problem 5ECP: Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.

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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?
Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.
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(b) Consider a regression line that goes through the origin with the following equation Y = Bx; +8;, j=1,2,...n. Find the estimator of ß, §.