A runner was tested on a treadmill. During the test, his speed x (in km/h) and his heart rate y were measured. The results are shown inthe table.y 122 | 132143160 1741891113151719(a) Test for the significance of regression using the analysis of variance with athat the model specifies a useful linear relationship between these two variables?0.01. Find the P-value for this test. Can you concludeWev conclude that the model specifies a useful linear relationship at a =0.01.(b) Estimate o?.Round your answer to three decimal places (e.g. 98.765).(c) Estimate the standard error of the slope and intercept in this model.Round your answers to three decimal places (e.g. 98.765).se(Bi) - Weconclude that the model specifies a useful linear relationship at a = 0.01.(b) Estimate o².Round your answer to three decimal places (e.g. 98.765).i(c) Estimate the standard error of the slope and intercept in this model.Round your answers to three decimal places (e.g. 98.765).se(i1)()ise Boi(d) Test the hypothesis that the increase in the speed of 1 km/h results in the runner's heart rate average increase of 7 points at0.01. Suppose that the alternative hypothesis is that the average increase of the runner's heart rate in this situation does nota =equal 7 points.There isv evidence to conclude that the increase in the speed of 1 km/h does not result in the runner's heart rateaverage increase of 7 points at a = 0.01.

Given data: y 122 132 143 160 174 189 x 9 11 13 15 17 19

Answered: A runner was tested on a treadmill.…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 6PPS

See similar textbooks

Similar questions

What is regression analysis? Describe the process of performing regression analysis on a graphing utility.
The table shows a regression of average hourly earnings (wage) on education (educ), age (age) and the gender dummy (woman). Discuss briefly the results. How do you interpret the intercept and the slope coefficients on these three variables?
A regression was run to determine if there is a relationship between hours of study per week (z) and the test scores (y)- The results of the regression were: y=ax+b a=5.701 b=31.89 r2=0.660969 r=0.813 Use this to predict the final exam score of a student who studies 3.5 hours per week, and please round your answer to a whole number. Question Help: Message instructor Submit Question rse here to search R
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=-0.817 b=32.111 r²=0.877969 r=-0.937 Use this to predict the number of situps a person who watches 13.5 hour(s) of TV can do, and please round your answer to a whole number.
The data provided give the number of standby hours based on total staff present, X₁, and remote hours, X₂. Perform a multiple regression analysis using the data provided and determine the VIF for each independent variable in the model. Is there reason to suspect the existence of collinearity? Click the icon to view the data. Determine the VIF for each independent variable in the model. VIF 1 VIF₂ = (Round to three decimal places as needed.) Is there reason to suspect the existence of collinearity? = A. No. The VIF for each independent variable is greater than 5. B. Yes. The VIF for each independent variable is less than 5. C. No. The VIF for each independent variable is less than 5. D. Yes. The VIF for each independent variable is greater than 5. Table of Data Standby Total Staff Remote Hours Present Hours 244 338 413 272 357 658 198 339 523 ITI 197 333 382 114 326 347 156 303 351 115 282 381 276 320 159 203 353 276 238 327 473 X
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups a person can do (yy). The results of the regression were: y=ax+b a=-0.609 b=34.589 r2=0.859329 r=-0.927 Use this to predict the number of sit ups a person who watches 10.5 hours of TV can do, and please round your answer to a whole number.
The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min Temperature ("F) 1247 1009 1024 853 876 831 D 93.5 85.4 81.5 71 72.2 75,5 What is the regression equation? (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) Enter your answer in the edit fields and then click Check Answer. Check Answer Clear All parts remaining MacBook Air F9 --- F6 20 F4 esc F2 & 2$ % delete %3D @ %23 9 5 6 7 3 T Y Q W G J A S * 00
A statistics student wanted to determine if the distance to a destination was related to the price an airline would charge to fly to that destination. The student did a regression of airfare, y, on distance, x, and obtained the printout shown below from a statistical software package. Predictor Coef Constant 83.02 Distance 0.117 Oŷ= 0.117+83.02x Oy=83.02 +0.117x Oy= 49.29 + 83.02x Oŷ= 0.028 + 0.117x Oy=83.02 + 25.25x 1 SE Coef 49.29 0.028 S = 25.25 R-Sq = 63.2 % Which of the following is the correct equation of the least-squares line? Mark this and return t-ratio 1.689 4.179 R-Sq (Adj) = 64.7% Save and Exit р 0.046 0.000 di I tv Next AM Submit Aa
i submitted a picture of the question
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=-0.853 b=34.041 r2=0.389376 r=-0.624 Use this to predict the number of situps a person who watches 7 hour(s) of TV can do, and please round your answer to a whole number.
The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min Temperature ("F) 1012 750 754 1120 804 1220 p |82.4 00.6 64.8 84.7 71 90.6 What is the regression equation? (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? 3000 chirps per minute is F. The best predicted temperature when a bug is chirping (Round to one decimal place as needed.)
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day () and number of sit ups a person can do (y). The results of the regression were: y=ax+b a3D-0.838 b=28.783 es 72-0.784996 r=-0.886 rences borations Use this to predict the number of sit ups a person who watches 1 hours of TV can do, and please round your answer to a whole number. gle Drive ce 365 Submit Question adent Course aluations ere to search Chp ins prt sc delete f12 f9 f10 fa f5 f6 +1 f4 backspa & $4 8. 6 3 O E R T II 5

SEE MORE QUESTIONS

Recommended textbooks for you

Glencoe Algebra 1, Student Edition, 9780079039897…

Algebra

ISBN:

9780079039897

Author:

Carter

Publisher:

McGraw Hill

College Algebra

Algebra

ISBN:

9781337282291

Author:

Ron Larson

Publisher:

Cengage Learning

Algebra & Trigonometry with Analytic Geometry

Algebra

ISBN:

9781133382119

Author:

Swokowski

Publisher:

Cengage

Glencoe Algebra 1, Student Edition, 9780079039897…

Algebra

ISBN:

9780079039897

Author:

Carter

Publisher:

McGraw Hill

College Algebra

Algebra

ISBN:

9781337282291

Author:

Ron Larson

Publisher:

Cengage Learning

Algebra & Trigonometry with Analytic Geometry

Algebra

ISBN:

9781133382119

Author:

Swokowski

Publisher:

Cengage

College Algebra

Algebra

ISBN:

9781938168383

Author:

Jay Abramson

Publisher:

OpenStax

Big Ideas Math A Bridge To Success Algebra 1: Stu…

Algebra

ISBN:

9781680331141

Author:

HOUGHTON MIFFLIN HARCOURT

Publisher:

Houghton Mifflin Harcourt

SEE MORE TEXTBOOKS