A realtor is trying to assess the prices of homes in a new development.She wants to know if the age of the house (x) can explain the selling price (y) of a home, in thousands of dollars.124810y245180200200171120115696047You are to conduct hypothesis testing of Pearson correlation that there is a relationship between the age of the house (x) and the selling price (y).Calculate the test statistic (in 3 decimal points x.Xxx) and the p-value (in 6 decimal points x.XXXXxx) for this test.The test statistic is(in 3 decimal points x.xxx) and the p-value is(in 6 decimal points x.xxxxx)Hint: You need to use R. For your convenience, here are the dataset in R.{1},..x<- C( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)y <-c(245,180, 200, 200, 171, 120,115, 69, 60,47)

It is been asked to conduct hypothesis test of Pearson correlation that there is relationship…

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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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Data relating to age of the students and their games. Calculate correlation between the age of the students and their playing habits. Age 15 16 17 18 19 20 No. of Students 250 200 150 120 100 80 Regular Players 200 150 90 48 30 12
Two variables have a positive linear correlation. Is the slope of the regression line for the variables positive or negative? A. The slope is negative. As the independent variable increases the dependent variable also tends to increase. B. The slope is negative. As the independent variable increases the dependent variable tends to decrease. C. The slope is positive. As the independent variable increases the dependent variable also tends to increase. D. The slope is positive. As the independent variable increases the dependent variable tends to decrease.
Use the data to the right to complete parts (a) through (d) below. Percentage Who Won't Try Don't Approve of Sushi Marriage Equality Generation Millennials y 32 39 Gen X Boomers Silent/Greatest Generation 54 52 61 55 69 66 a. Determine the correlation coefficient between the percentage of people who won't try sushi and the percentage who do not approve of marriage equality. (Do not round until the final answer. Then round to two decimal places as needed.) b. What explanations can you offer for the correlation coefficient in part (a)? Choose the correct answer below. O A. Unwillingness to try sushi and disapproval of marriage equality have a weak positive correlation. O B. Unwillingness to try sushi and disapproval of marriage equality have a strong negative correlation. C. Unwillingness to try sushi and disapproval of marriage equality have no correlation. O D. Unwillingness to try sushi and disapproval of marriage equality have a strong positive correlation. c. Find the equation of…
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Statistical technique used to determine the degree to which two variables are related is known as a. Regression b. Correlation c. None of these d. Dispersion
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
Problem; In a research study, a researcher studied the relation between calf circumference, hip breadth and nutrition. He produces the fol- lowing correlations: Calf Hip Breadth Nutrition Circumference Calf Circumference Hip Breadth Nutrition .50 .26 .52 .52 .50 .26. What is the effect of Hip Breadth and Nutrition on the calf cir- cumference.
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Include the explanation please.
What can be said about the relationship between the cost of advertising and the number of products sold? A. Strong negative correlation B. very strong negative correlation. C. Strong positive correlation. D. Very strong positive correlation
A professor believed that there is a correlation between people’s weights and number of times they eat out. He recorded a group of students’ weights (measured in lbs.) and the number of times they ate out last week. The r value was 0.90. We can tell that the correlation between students’ weights (measured in kilogram) and the number of times they ate out last week is: Bigger than 0.9 0.90 Smaller than 0.9 We cannot tell ( don't hand writing solution)

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