You wish to determine if there is a linear correlation between the two variables at a significance levelof a =0.01. You have the following bivariate data set. Round answers to 3 decimal places.Xy73.489.883.8 131.645.8-14.490.6 117.650.7-0.458.610.978.799.784.9 100.984.2102.775.671.669.380.372.188.259.135.453.734.936.2 -46.467.747.956.72666.265.628-46.4What is the critival value for this hypothesis test?= +rc.v.

The data shows two variables x.

Answered: You wish to determine if there is 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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Here is a bivariate data set. y 48.1 27.5 68.3 74.8 59.4 45.5 68.2 83.5 77.5 88.1 76.1 83.6 71 76.3 53.8 52 89.2 108.8 76.6 101 76.7 70.3 80.1 91.6 75.3 87.1 62.5 70.8 Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place.
You wish to determine if there is a linear correlation between the two variables at a significance level of α=0.05α=0.05. You have the following bivariate data set. x y 43.5 181.7 81.9 106.1 74.4 58.4 99 1.8 83.1 -6.3 29.5 150.5 62.6 44.7 66.4 54 60.5 142.9 66.7 48.7 60.3 41 61.7 171.8 What is the critival value for this hypothesis test?rc.v. = What is the correlation coefficient for this data set?r =
Here is a bivariate data set. y 30.4 1.4 28.5 37.7 34.4 46.8 47.9 29.8 23.3 6.3 46.3 32.9 56.6 64.6 42.1 35.1 39.7 41.4 58.5 69.9 Find the correlation coefficient and report it accurate to three decimal places. r =
Use the data values in the table below to calculate the correlation between the variables x and y. Hint: Use your calculator to do this, you do not need to compute this by hand. y 4 19.34 5 19.35 6 20.86 7 24.57 8 23.08 9 23.89 10 28.6 Give your answer to three decimal places.
Here is a bivariate data set. x y 20.9 34.2 31.4 144.9 44.3 84.7 55.4 79.8 58.9 50.8 68.7 -74.4 39.5 117.7 58.7 -117.6 71.6 -74.3 23.1 109 36.6 79.9 54.4 -33 62.2 -121 78.5 -81.9 77.8 -16.1 56.4 -103.7 This data can be downloaded as a *.csv file with this link: Download CSVFind the correlation coefficient and report it accurate to three decimal places.r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place.R² = %
Here is a bivariate data set in which you believe y to be the response variable. x y 57.3 72.6 45.4 53.7 42.4 59.5 49.3 61.2 146.9 66.9 31.7 38.4 43.7 54.3 49.9 64.2 32.5 48.5 40.4 56.5 Make a scatter plot of this data. Which point is an outlier?(Enter as an ordered pair.)Find the regression equation for the data set without the outlier. (Enter as an equation in slope-intercept form with parameters rounded to three decimal places.)Find the regression equation for the data set with the outlier. (Enter as an equation in slope-intercept form with parameters rounded to three decimal places.)
You wish to determine if there is a linear correlation between the two variables at a significance level of α=0.02α=0.02. You have the following bivariate data set. x y 25.2 64.3 15.3 79.6 39 49.8 30 75.1 14.8 82.2 15.7 69.9 4.3 92.5 17.9 84.4 13.4 77.6 18.4 74.4 25 78.1 24.4 65 23.7 69.7 10.9 89.1 31.3 65.3 20.6 82.4 20.4 81.1 29 68.2 13.9 92 8.7 88.4 5.3 93.4 What is the correlation coefficient for this data set? r = (report answer accurate to at least 3 decimal places)What is the p-value for this correlation coefficient? p-value =
Here is a bivariate data set. x y 62.4 32 62.2 26.6 47.7 56.6 120.5 -33.2 49 49.4 69.1 26.4 53.2 42.8 66 29.3 87 5.9 92.3 -2.2 70.3 23.2 67.6 32 69 26.4 86.8 6.5 51.2 47.6 Find the correlation coefficient and report it accurate to three decimal places.r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place.
You wish to determine if there is a linear correlation between the two variables at a significance level of α=0.01α=0.01. You have the following bivariate data set. x y 43.5 15.5 31.7 -8 50 4.3 48.9 9.4 64.2 17.8 40.6 4.2 69.9 17.3 65.8 30.7 74.1 29.3 65.5 43.8 58.5 34.2 64.9 27.8 What is the critival value for this hypothesis test?rc.v. = What is the correlation coefficient for this data set?r = Your final conclusion is that... There is insufficient sample evidence to support the claim the there is a correlation between the two variables. There is sufficient sample evidence to support the claim that there is a statistically significant correlation between the two variables. Note: In your calculations, round both r and t to 3 decimal places in ALL calculations.
Here is a bivariate data set. x y 51.3 19.3 11.7 115.1 43.8 41.8 -2.9 173.8 27.7 109.3 50.9 63.7 40.6 76.9 40.1 46.2 41.6 63.2 26.4 43.5 32.3 66.8 51.6 14.9 36.9 42.9 Find the correlation coefficient and report it accurate to three decimal places.r = Incorrect (NOT 0.110)What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place.R² = Incorrect% (NOT 1.21%)
We give the total variation, the unexplained variation (SSE), and the least squares point estimate b1 . Total variation = 13.459; SSE = 2.806; b1 = 2.6652 Click here for the Excel Data File Using the information given, find the explained variation, the simple coefficient of determination (r2), and the simple correlation coefficient (r). Interpret r2. (Round your answers to 3 decimal places. Round your percent to 1 decimal place.) Explained variation r2 r % of the variation in demand can be explained by variation in price differential.
Run a regression analysis on the following bivariate set of data with y as the response variable. y 56.3 -257.6 14.5 670.8 49.4 431 60.7 200.3 60.1 70.3 52.6 -162.4 46.2 -406.9 45.1 -3.6 39.6 292.4 51.2 274.8 53.1 -77.4 50 496.6 46.9 251.5 48.5 -188.7 79.8 233 33.5 -415.6 49.2 431.3 download link provided here: Download CSV Predict what value (on average) for the response variable will be obtained from a value of 32.1 as the explanatory variable. Use a significance level of a = 0.05 to assess the strength of the linear correlation. What is the predicted response value? y = 169.94127 (Report answer accurate to one decimal place.)

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