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 decrease in VO2max. Holding all other variables constant, a 1 kg increase in weight will result in a 0.01 L/min increase in VO2max.Holding all other variables constant, a 1 kg increase in weight will result in a 0.01 L/min decrease in VO2max. Interpret β3. Holding all other variables constant, a 1 min increase in walk time will result in a 0.13 L/min increase in VO2max.Holding all other variables constant, a 0.13 min increase in walk time will result in a 1 L/min decrease in VO2max. Holding all other variables constant, a 1 min increase in walk time will result in a 0.13 L/min decrease in VO2max.Holding all other variables constant, a 0.13 min increase in walk time will result in a 1 L/min increase in VO2max. (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 made when the values of the predictors are as stated in part (b)? (Round your answer to four decimal places.)
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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.
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."†
Interpret β3.
(b) What is the
L/min
(c) What is the probability that VO2max will be between 1.19 and 2.07 for a single observation made when the values of the predictors are as stated in part (b)? (Round your answer to four decimal places.)
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