Using the correlation matrix from a previous problem, test whether the populationcorrelation between AREA and LIVING ROOMS in city apartments is significantlygreater than zero:2 State the null and alternative hypotheses associated with the test.b) Determine the calculated value for the associated test statistic.c) Given an alpha (x) level of 0.05, determine the critical value for the associated teststatistic. "d) Conclude whether the population correlation coefficient between AREA andLIVING_ROOMS is significantly greater than zero.In the correlation matrix, the correlation between AREA and LIVING ROOMS is0.550, and the sample size is 450. Use this information to answer the questions.

The correlation between AREA and LIVING ROOM is 0.550sample size is 450.Given the claim test whether…

Answered: Using the correlation matrix from a…

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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ont Paragraph Styles 4. The given table below shows the respective correlation coefficients between two variables with the corresponding p-values. Assume that the target population is composed of all ADZU employees. Required: a) Write the null hypothesis(Ho) and alternative hypothesis (Ha) for each pair of variables as reflected in the table below. b) Decide whether the null hypothesis can be rejected and then discuss the results (at least 15 words) for each pair of variables. Fasting Blood Sugar Level (FBSL) Systolic Blood Pressure (SBP) 0.85 p-value = 0.03 Body Mass Index (BMI) -0.63 p-value=0.005 Focus W Accessibility: Investigate 17 17 43
will this be sufficient or is not sufficient evidence.
a) Compute the value of the sample correlation coefficient, r. (Round your answer to four decimal places.) r = b) Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your P-value to three decimal places.) t = P- value = c) If a regression analysis were to be carried out to predict endurance from lactate level, what proportion of observed variation in endurance could be attributed to the approximate linear relationship? Answer the question without doing any regression calculations. (Round your answer to four decimal places.) ____________ d) If a regression analysis were to be carried out to predict lactate level from endurance, what proportion of observed variation in endurance could be attributed to the approximate linear relationship? Answer the question without doing any regression calculations. (Round your answer to four decimal places.) _____________
2) Researchers are interested in whether there is any relationship between a person's IQ (x- variable) and how long they live (y-variable). Answer the questions below by using the data provided. Show your work and use the back of the page if necessary. X Y 10 3 6. 6. 7 4 3 4 a) What type of statistical analysis would be most appropriate to use in this scenario? Please justify your answer. b) Please state the null and alternative hypotheses. c) Please report the results of your statistical analyses and make a decision about whether to reject or fail to reject the null hypothesis Use alpha = .05 (two-tailed). %3D
Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of α = 0.01. Internet Users 79.2 81.0 56.5 67.8 78.3 37.6 Award Winners 5.6 8.8 3.2 1.7 11 0.1 O C. D. O A. Award Winners 12- 0- ● 30 90 Internet Users The linear correlation coefficient is r= 0. (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P H₁: P (Type integers or decimals. Do not round.) Award Winners B. 12- ● 0- 30 ● Internet Users 90 Award Winners 12- 0- 30 J • Internet Users 90 Award Winners 12- to+0 30 ● 19 Internet Users T 1 90
A sample contains 61 pairs of values. Find the critical value for the linear correlation coefficient from Table A-6 corresponding to a 0.05 significance level. A. 0.330 B. 0.236 C. 0.279 D. 0.254 ( don't hand writing solution)
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)
For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of five types of automobile, the linear correlation coefficient is found and the P-value is 0.033. Write a statement that interprets the P-value and includes a conclusion about linear correlation. The P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is nothing%, which is ▼ high, low, so there ▼ is not is sufficient evidence to conclude that there is a linear correlation between weight and highway fuel consumption in automobiles.
(b)For which data set is the sample correlation coefficient r equal to -1? CHOOSE ONE: u, v data set w, t data set none of the data sets (m, n data set & x, y data set answer is wrong)
Listed below are numbers of internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, Fone the value of the linear correlation coefficient r, and find the p-value of r. Determine whether there is suffiencet evidence to support a claim of linear correlation between the two variables. Use a significance level of a=0.05 determine the linear correlation coefficient r determine the null and alternative hypothesis determine the test statistic Determine the p value

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