Vhat is the coefficient of determination for two variables that have perfect positive linear correlation or perfect negative linear correlatic Choose the correct answer below. DA. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or 0, respective variation in the response variable is explained by the variation in the explanatory variable. O B. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respect. of determination is 1, which means 100% of the variation in the response variable is explained by the variation in the explanate OC. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respect of determination is 1, which means 0% of the variation in the response variable is explained by the variation in the explanatory O D. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respect of determination is 1, which means 100% of the variation in the response variable is explained by the variation in the unexplam

Vhat is the coefficient of determination for two variables that have perfect positive linear correlation or perfect negative linear correlatic Choose the correct answer below. DA. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or 0, respective variation in the response variable is explained by the variation in the explanatory variable. O B. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respect. of determination is 1, which means 100% of the variation in the response variable is explained by the variation in the explanate OC. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respect of determination is 1, which means 0% of the variation in the response variable is explained by the variation in the explanatory O D. Two variables that have perfect positive or perfect negative linear correlation have a correlation coefficient of 1 or - 1, respect of determination is 1, which means 100% of the variation in the response variable is explained by the variation in the unexplam

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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Which value of r, the correlation coefficient, represents data with a strong positive linear correlation between the two variables? 1. 0.34 2. -0.75 3. 0.91 4. equal to 1
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use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
Solve the problem. A olothes shop owner tries to predict the winter oolection sales by displaying the coats sales (in dollars) and the outside temperature (in degrees Fahrenheit) on the following scatterplot. He calculates that the correlation between coats sales and emperature is-0.801 Suppose the variable temperature is recorded in degrees Celsius rather than in degrees Fahrenheit. What will be the correlation? 6- :- 2- 30 40 50 60 70 Temperature (F) 20 OA -0.801 OB. -0.801 F/$ OC. 18.197 F-$ O D. -0.801 F•$ OE. 0.801
please answer 3 A,B,C,D, and E thank you
Hello I need help with this one, calculate the Pearson product-moment correlations between at least two sets of variables in the Happiness and Engagement Dataset. Perform one correlation between two dependent variables. Perform the second correlation on an independent variable and the dependent variable OR between a different set of two dependent variables Calculate the Pearson product-moment correlations between the two sets of variables in your data set. Describe the correlations and their strength and direction.
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ev The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, y = bo + b₁x, for predicting the number of bids an item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Price in Dollars 28 33 36 42 45 Number of Bids 1 7 8 9 10 Step 1 of 6: Find the estimated slope. Round your answer to three decimal places. Table Copy Data Next
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if the slope is negative then is the correlation coefficient also negative?
Dr. Wabld Hamdy given by the following table: y X-4 -2 2 4 --2 0 0.25 0 0 -100 0.25 1 0.25 00 0 2 0.25 0 Find the correlation coefficient between X and Y llu mad and imported automobiles sold