For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of four types of automobile, the inear correlation coefficient is found and the P-value is 0.001. Write a statement that interprets the P-value and includes a conclusion about linear correlation. V so there The P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is %, which is V sufficient evidence to conclude that there is a linear correlation between weight and highway fuel consumption in automobiles. (Type an integer or a decimal. Do not round.)

For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of four types of automobile, the inear correlation coefficient is found and the P-value is 0.001. Write a statement that interprets the P-value and includes a conclusion about linear correlation. V so there The P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is %, which is V sufficient evidence to conclude that there is a linear correlation between weight and highway fuel consumption in automobiles. (Type an integer or a decimal. Do not round.)

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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Can you please check my work
An exercise scientist wants to know if there is a relationship between explosive leg power and standing jump height. To determine if a relationship exists, a group of 30 participants' (N = 30) Leg power was measured by recording each participants' single squat weight max (in pounds). Next, each participant was asked to perform a standing jump and their Jump height was recorded (in meters). Using the variables “Leg power” and “Jump height”, conduct a Pearson's Correlation, at α = 0.05, to determine if leg power and jump height are correlated Interpret r. What type of correlation exists between leg strength and jump height? A. A negative correlation B. No correlation C. A positive correlation D. We cannot know based on the available information
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