NHL Assists and Total Points The number of assists and total number of points for a sample of NHL scoring leaders from the NHL are shown. Assists x 65 83 58 59 68 67 Total points y 94 112 109 109 101 91 Send data to Excel The correlation coefficient for the data is r= 0.146 and a = 0.05. sShould regression analysis be done? OThe regression analysis should not be done. O The regression analysis should be done. O Find the equation of the regression line. y'=a+bx a = 93.237 b = 0.141 Find y' when x= 65. y' = 102.402

NHL Assists and Total Points The number of assists and total number of points for a sample of NHL scoring leaders from the NHL are shown. Assists x 65 83 58 59 68 67 Total points y 94 112 109 109 101 91 Send data to Excel The correlation coefficient for the data is r= 0.146 and a = 0.05. sShould regression analysis be done? OThe regression analysis should not be done. O The regression analysis should be done. O Find the equation of the regression line. y'=a+bx a = 93.237 b = 0.141 Find y' when x= 65. y' = 102.402

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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You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r2r2 value. The regression equation is reported asy=60.71x+33.51y=60.71x+33.51and the r2=0.1764r2=0.1764.What is the correlation coefficient for this data set?r =
1
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Post secondary education information was examined for a random selection of states. The data below show the number of community colleges in the number of universities for each particular state. Community: 12, 17, 13, 10, 8 University: 4, 6, 5, 4, 3 A. Create a scatterplot of the given data sets B. Find the correlation coefficient of the sets of data. C. Create the equation of the regression line for the data and evaluate it when X=300.
Instructions: Use the technology of your choice (calculator, Excel, GeoGebra, Google Sheets) to find the regression line, the correlation coefficient of the following data sets, and interpolate or extrapolate the requested data. (Round all numbers to the nearest hundredth, when necessary.) Data Set: {(0,7),(1,5),(1.5,3),(2,5),(2.3,3.2),(3,2),(3.5,4)}{(0,7),(1,5),(1.5,3),(2,5),(2.3,3.2),(3,2),(3.5,4)} The regression line is: y=y= Answer −− Answer xx Based on the regression line, we would expect the value of response variable to be Answer when the explanatory variable is 0. (NOTE: This is the yy-intercept.) For each increase of 1 in of the explanatory variable, we can expect a(n) Answerdecreaseincrease of Answer in the response variable. (NOTE: This is the slope.) If x=2.5x=2.5, the yˆ=y^= Answer. This is an example of Answerextrapolationinterpolation. The correlation coefficient is r=r= Answer.
Correlation and linear regression
Direction: Answer the problem below. Show your solution. Mr. David runs to keep himself physically fit. He wants to know if there is a relationship between the time elapsed and the kilometers he ran. Kilometers ran Time (in minutes) (X) (Y) 1 10 90 2 10 60 3 16 150 4 16 90 5 21 160 21 180 a. Calculate the Pearson correlation coefficient and regression line based on the data below, b. Draw a scatter plot. Activate Windows N Go to PC settings to activate Windows.
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NHL Assists and Total Points A random sample of scoring leaders from the National Hockey League (NHL) showed the following numbers of assists and total points. Based on these data, can it be concluded that there is a significant relationship between the two? Draw the scatter plot for the variables. NHL Assist and Points Compute the value of the correlation coefficient. Round your answer to at least three decimal places. r= Assists 59 68 44 58 67 69 Total points 109 101 95 109 91 89 State the Hypothesis. H0: H1: Test the significance of the correlation coefficient at =α0.05, using The Critical Values for the PPMC Table. Critical value(s): +or- = Reject or do not reject the null hypothesis.
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = 55.52x + 67.35 and the r = 0.65. What percentage of the variation in y can be explained by the variation in the values of x? r2 = % (Report exact answer, and do not enter the % sign) Submit Question Drive 8:31 ヘ回の 3/6/2 brPo 近

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