Tiempo restanteGiven the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to statewhether or not the given r represents a significant linear correlation. Use a significance level of 0.05.T = 0.353, n = 15Seleccione una:O A. Critical values: r = ±0.532, no sigmificant linear correlationO B.Critical values: r = 0.514, no significant linear correlationOC. Critical values: r = ±0.514, no significant linear correlationO D. Critical values: r = ±0.514, significant linear correlationSiguiente pághp

The correlation coefficient and sample size are given. We have to find the critical values and test…

Answered: Given the linear correlation…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2BGP

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The peak flow rate of a person is the fastest rate at which the person can expel air after taking a deep breath.Peak flow rate is measured in units of liters per minute and gives an indication of the person’s respiratoryhealth. Researchers measured peak flow rate and height for each of a sample of 17 men. The results are givenin the table. (image included) a. Create a scatterplot displaying the relationship between peak flow rate and height.b. Calculate the sample correlation coefficient for peak flow rate and height.c. If we were to predict the peak flow rate using height with a least-squares regression model, whatis the slope estimate ˆb?d. Continuing with part a, what is the intercept estimate ˆa?e. Based on the regression model, what is the predicted peak flow rate for a subject that is 175cmtall?f. Looking at the original data, subject 8 is 175cm tall with a peak flow rate of 670l/min. What isthe residual for this subject?g. Fit the least-squares model in R. What is the…
Working with Large Data SetsIn each of Exercises, use the technology of your choice to decide whether you can reasonably apply the correlation t-test. If so, perform and interpret the required correlation t-test(s) at the 5% significance level.Birdies and Score. The data from Exercise for number of birdies during a tournament and final score of 63women golfers are on the WeissStats site. Do the data provide sufficient evidence to conclude that, for women golfers, number of birdies and score are negatively linearly correlated?ExerciseWorking with Large Data SetsIn Exercises, use the technology of your choice toa. obtain and interpret the standard error of the estimate.b. obtain a residual plot and a normal probability plot of the residuals.c. decide whether you can reasonably consider Assumptions 1–3 for regression inferences met by the two variables under consideration.Birdies and Score. How important are birdies (a score of one under par on a given hole) in determining the final total…
Identify the linear correlation coefficient r , test statistics and pvalue. thank you
A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. The dataset is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and the number of rooms occupied. 1) Does the revenue seem to increase as the number of occupied rooms increases? Draw a scatter diagram to support your conclusion. 2) Determine the correlation coefficient between the two variables. Interpret the value. 3) Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the .10 significance level. 4) What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied?
The linear correlation coefficient is r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. H0:ρ __ ___ H1:ρ ____ ____ (Type integers or decimals. Do not round.) The test statistic is t= (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is: the significance level, there: sufficient evidence to support the claim that there is a linear correlation between Internet users and scientific award winners.

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