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Multiple Regression analysis

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It is generally assumed that as world class runners speed up, their stride length increases. The average speed and stride length of world class runner was checked at 7 increments. You want to know if there is any relationship between speed and stride length. Do the following tasks and run a hypothesis test to see if there is any measurable relationship between speed and stride length.

A) Scatter plot the data
B) Set up a hypothesis statement regarding the slope term B
C) Find r
D) Find b
E) find a
f) set up the regression equation
G) find the residuals and plot them
H) using the squared residuals fine Se and Sb
I) Test you original hypothesis on B

SPEED 15.86 168.88 17.50 18.62 19.97 21.06 22.11

STRIDE LENGTH 3.05 3.021 3.17 3.25 3.36 3.46 3.55.

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Solution Summary

Step-by-step method for regression analysis is discussed here. Regression coefficients, coefficient of determination, scatter diagram and significance of regression model are explained in the solution.

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Regression analysis and Hypothesis test - Multiple steps
It is generally assumed that as world class runners speed up, their stride length increases. The average speed and stride length of world class runner was checked at 7 increments. You want to know if there is any relationship between speed and stride length. Do the following tasks and run a hypothesis test to see if there is any measurable relationship between speeds and stride length.

A) Scatter plot the data
B) Set up a hypothesis statement regarding the slope term B
C) Find r
D) Find b
E) find a
f) set up the regression equation
G) find the residuals and plot them
H) using the squared residuals fine Se and Sb
I) Test you original hypothesis on B

SPEED 15.86 168.88 17.50 18.62 19.97 21.06 22.11

STRIDE ...

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