Can you help me interprate this data And explain i amvery confused? Per our study, .1 - .3 is a smallcorrelation, .3 .5 is a moderate correlation and .5 orabove is a strong correlation. My Hypothesis wasincreased participation in exercise will correlatepositively with improvements in mood.days of exerc positive emoti negative emot momentary mdays of exercisePearson Correlationise1onionood219Sig. (2-tailed)143-.009.953293.048N46464646positive emotionPearson Correlation.2191-.584"627Sig. (2-tailed)143<.001<.001N46464646negative emotion:Pearson Correlation-.009.5841.573Sig. (2-tailed)1953<.001<.001N464646momentary mood Pearson Correlation293627-573461Sig. (2-tailed)N.048<.001<.00146464646

The correlation shows a relationship between 2 variables.

Answered: Can you help me interprate this data…

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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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. Identify the correct null hypothesis A. H0: There is no relationship between leg power and jump height B. H0: There is a relationship between leg power and jump height C. HA: There is a relationship between leg power and jump height D. HA: There is no relationship between leg power and jump height
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. What does this type of correlation indicate about how leg strength and jump height change together? A. Both leg strength and jump height increase and decrease together B. There is no relationship between leg strength and jump height C. As leg strength increases, jump height decreases D. As jump height increases, leg strength decreases
PLEASE HELP WITH THE LAST PART OF THIS PROBELM Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using α=0.05. Is there sufficient evidence to conclude that there is a linear correlation between court incomes and justice salaries? Based on the results, does it appear that justices might profit by levying larger fines? Court Income 66.0 402.0 1567.0 1131.0 270.0 253.0 110.0 154.0 32.0 Justice Salary 29 45 91 57 46 61 26 27 17 What are the null and alternative hypotheses? A. H0: ρ≠0 H1: ρ=0 B. H0: ρ=0 H1: ρ<0 C. H0: ρ=0 H1: ρ≠0 Your answer is correct. D. H0: ρ=0 H1: ρ>0 Construct a scatterplot. Choose the correct graph below. A. 08001600050100Court IncomeJustice…
Are there ever any circumstances when a correlation such as Pearson’s r can be interpreted as evidence for a casual connection between two variables? If yes, what circumstances?
Please answer EVERY question VERY Clearly!
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support Correlation Results the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.959614 a measured chest size can be used to predict the weight? Use a significance level of = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Но: Р H1:P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= . B. There are two critical values at r= ± Is there sufficient evidence to support the claim that there is a linear correlation between…
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
Second part to this question is also what is test statistic t=
A correlation study provides the following data: r = -.74 and the study involved 62 participants What is the effect size? NOTE: Please only report the number (and as always, do not Hl markvour ans wer as invalid)
Are there ever any circumstances when a correlation such as Pearson's r can be interpreted as evidence for a causal connection between two variables?
If the value of a correlation coefficient is said to be 0.95 would this be considered a strong negative correlation?

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