11.22 Athletes are constantly seeking measures of the degree of their cardiovascular fitnessprior to a major race. Athletes want to know when their training is at a level that will producea peak performance. One such measure of fitness is the time to exhaustion from running on atreadmill at a specified angle and speed. The important question is then "Does this measure ofcardiovascular fitness translate into performance in a 10-km running race?" Twenty experienceddistance runners who professed to be at top condition were evaluated on the treadmill and thenhad their times recorded in a 10-km race. The data are given hereTreadmill time (minutes) 7.57.8 7.9 8.1 8.3 8.7 8.9 9.2 949.810-km time (minutes) 43.5 45.2 44.9 41.1 43.8 44.4 38.7 43.1 41.8 43.7Treadmi time (minutes 10.1 10.3 10.5 10.7 10.8 10.9 11.2 11.5 11.7 11.810-km time (minutes)39.5 38.2 43.9 37.1 37.7 39.2 35.7 37.2 34.8 38.5a. Plot the data in a scatterplot.b. Fit a regression model to the data. Does a linear model seem appropriate?c. Obtain the estimated linear regression model y - B B

The data consists of treadmill time and 10-km race time, both in minutes.a. The scatter plot of the…

Answered: 11.22 Athletes are constantly seeking…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Consider the following scenario and answer the questions below: The ornithologist decided to investigate the effect of temperature on the migration of North American birds. Develop a hypothesis in the appropriate format. Identify the independent variable. Identify the dependent variable. Plan an investigation (what would she do to collect data?). Did she engage in basic science or applied science? Explain. Did she engage in inductive or deductive reasoning? Explain
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According to the CDC, cholesterol levels can be reduced by following a healthy diet, getting regular exercise, and reducing the amount of alcohol consumed on a weekly basis. One method of monitoring overall cholesterol levels is to calculate your cholesterol ratio (LDL/HDL), in general a cholesterol ratio between 3.5 and 5.0 is considered to be healthy for most adults. Suppose you are a clinical researcher testing the effects of these lifestyle changes on patient cholesterol levels. In order to determine if following these guidelines helps to reduce overall cholesterol, a total of 18 participants (N = 18) with moderate to high cholesterol ratios (i.e., 3.91 to > 5.0) were recruited for a healthy lifestyle study and their cholesterol ratio was calculated three times over a six week period: Week 0 (baseline), Week 3, and Week 6. Using the variables "Week 0", "Week 3", and "Week 6" in the data set, conduct a One-Way, Within Subjects (AKA Repeated Measures) ANOVA, at α = 0.05, to see…
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According to the CDC, cholesterol levels can be reduced by following a healthy diet, getting regular exercise, and reducing the amount of alcohol consumed on a weekly basis. One method of monitoring overall cholesterol levels is to calculate your cholesterol ratio (LDL/HDL), in general a cholesterol ratio between 3.5 and 5.0 is considered to be healthy for most adults. Suppose you are a clinical researcher testing the effects of these lifestyle changes on patient cholesterol levels. In order to determine if following these guidelines helps to reduce overall cholesterol, a total of 18 participants (N = 18) with moderate to high cholesterol ratios (i.e., 3.91 to > 5.0) were recruited for a healthy lifestyle study and their cholesterol ratio was calculated three times over a six week period: Week 0 (baseline), Week 3, and Week 6. Using the variables "Week 0", "Week 3", and "Week 6" in the data set, conduct a One-Way, Within Subjects (AKA Repeated Measures) ANOVA, at α = 0.05, to see…
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Can I have step by steo instructions to do this in excel? Thank you
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The time data is therefore the (Chebyshev's Rule, Empirical Rule) says we should expect of the time data to be minutes.
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