Model Summary Adjusted R Square Std. Error of the Estimate Model R Square 1 .214a .046 .043 22.7774 a. Predictors: (Constant), Have health insurance, Female, Age ANOVAª Sum of Squares Model df Mean Square F Sig. 1 Regression 25389.700 8463.233 16.313 <.001b Residual 527111.534 1016 518.811 Total 552501.235 1019 a. Dependent Variable: How would you rate managing your economic life to reduce stress and increase security (0-100)? b. Predictors: (Constant), Have health insurance, Female, Age Coefficientsa Standardized Coefficients Unstandardized Coefficients Model Std. Error Beta t Sig. 1 (Constant) 46.514 2.981 15.602 <.001 Age .186 .044 .130 4.191 <.001 Female -4.086 1.458 -.086 -2.803 .005 Have health insurance 10.474 2.488 .130 4.210 <.001 a. Dependent Variable: How would you rate managing your economic life to reduce stress and increase security (0-100)?

Model Summary Adjusted R Square Std. Error of the Estimate Model R Square 1 .214a .046 .043 22.7774 a. Predictors: (Constant), Have health insurance, Female, Age ANOVAª Sum of Squares Model df Mean Square F Sig. 1 Regression 25389.700 8463.233 16.313 <.001b Residual 527111.534 1016 518.811 Total 552501.235 1019 a. Dependent Variable: How would you rate managing your economic life to reduce stress and increase security (0-100)? b. Predictors: (Constant), Have health insurance, Female, Age Coefficientsa Standardized Coefficients Unstandardized Coefficients Model Std. Error Beta t Sig. 1 (Constant) 46.514 2.981 15.602 <.001 Age .186 .044 .130 4.191 <.001 Female -4.086 1.458 -.086 -2.803 .005 Have health insurance 10.474 2.488 .130 4.210 <.001 a. Dependent Variable: How would you rate managing your economic life to reduce stress and increase security (0-100)?

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter5: Inverse, Exponential, And Logarithmic Functions

Section5.6: Exponential And Logarithmic Equations

Problem 67E

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Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. Consider the following variables. y = VO2max (L/min)x1 = weight (kg)x2 = age (yr)x3 = time necessary to walk 1 mile (min)x4 = heart rate at the end of the walk (beats/min) Here is one possible model for male students, consistent with the information given in the article "Validation of the Rockport Fitness Walking Test in College Males and Females."† Y = 5.0 + 0.01x1 − 0.05x2 − 0.13x3 − 0.01x4 + ϵ σ = 0.4 (b) What is the expected value of VO2max when weight is 78 kg, age is 19 yr, walk time is 14 min, and heart rate is 138 b/m? L/min(c) What is the probability that VO2max will be between 1.19 and 2.07 for a single observation…
Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. Consider the following variables. y = VO2max (L/min)x1 = weight (kg)x2 = age (yr)x3 = time necessary to walk 1 mile (min)x4 = heart rate at the end of the walk (beats/min) Here is one possible model for male students, consistent with the information given in the article "Validation of the Rockport Fitness Walking Test in College Males and Females."† Y = 5.0 + 0.01x1 − 0.05x2 − 0.13x3 − 0.01x4 + ϵ ? = 0.4 Given the following data: (Part b) When weight is 78 kg, age is 18 yr, walk time is 13 min, and heart rate is 132 b/m? I would like to know what is the procedure to answer this following question: What is the probability…
Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. Consider the following variables. y = VO2max (L/min)x1 = weight (kg)x2 = age (yr)x3 = time necessary to walk 1 mile (min)x4 = heart rate at the end of the walk (beats/min) Here is one possible model for male students, consistent with the information given in the article "Validation of the Rockport Fitness Walking Test in College Males and Females."† Y = 5.0 + 0.01x1 − 0.05x2 − 0.13x3 − 0.01x4 + ϵ σ = 0.4 (a) Interpret β1. Holding all other variables constant, a 0.01 kg increase in weight will result in a 1 L/min increase in VO2max.Holding all other variables constant, a 0.01 kg increase in weight will result in a 1 L/min…
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Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. A sample is taken and variables measured are age (years), time necessary to walk 1 mile (mins), and heart rate at the end of the walk (bpm) in addition to the VO2 max uptake. The following output is from a multiple regression. Based on the F-test alone, what is the correct conclusion about the regression slopes? At least one of the regression slopes does not equal zero. 2) We do not have the dataset, therefore, we are unable to make a conclusion about the slopes. 3) We did not find significant evidence to conclude that at least one slope differs from zero.…
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Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. A sample is taken and variables measured are age (years), time necessary to walk 1 mile (mins), and heart rate at the end of the walk (bpm) in addition to the VO2 max uptake. The following output is from a multiple regression. Based on the F-test alone, what is the correct conclusion about the regression slopes? We did not find significant evidence to conclude that at least one slope differs from zero. 2) We do not have the dataset, therefore, we are unable to make a conclusion about the slopes. 3) All the regression slopes do not equal zero.…
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