Use Pearson’s Product Moment correlation coefficient (r) to find the relationship between the independent variable (hour spent in studying) to the dependent variable (achievement score).Complete the table below and follow the steps in solving Pearson’s Product Momentcorrelation coefficient (r). Round off your answer into two decimal places. Hour spent instudying(x)1RespondentsAchievementхуy?score (y)10A101100В12525(6)4625(10)C240(1)(2)2274(11)E220(3).(12)(7).6.25F2.52665(13).G40(14).120(4).H320(8)(15),I442(5).(9)1764445180162025N = 10Σχ=24.5ΣΥ- 295Σχy- 802Ex? = 70.25 E y² =9,919%3D Formula of Pearson's Product Moment correlation coefficient (r)where:n(Σxν)-Σx) (Σν)r =V[n£x2-(Ex)²][n£y²-(Ey)²]n = number ofrespondentsx = independent variableSubstitute the given to the formula.y = dependent variable10(802)-(24.5)(295)r =V[10(70.25)–(24.5)²][10(9,919)–(295)²]8020 –r =V[702.5 –-87,025]r =r =1,243,871.25

Here given, Total 10 observation And some values for calculations of correlation coefficient

Answered: Complete the table below and follow the…

Math

Statistics

Complete the table below and follow the steps in solving Pearson’s Product Momentcorrelation coefficient (r).

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. r=0.947, where x = distance in miles and y=fare in dollars What is the value of the coefficient of determination? The coefficient of determination is (Round to four decimal places as needed.) G Camera Search your device, apps, settings, web.... G Docs Chrome Gmail 1)
Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. r=0.853
Will the following variables have positive correlation, negative correlation, or no correlation? IQ and annual salary Will these variables have positive correlation, negative correlation, or no correlation? O No correlation O Negative Positive Click to select your answer. acer esc @ 2$ % 8 W e r tab Dロ d f 9h a しのづ త #3 の
The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $13 million. Is the result close to the actual number of viewers, 5.7 million? Use a significance level of 0.05. 98 Salary (millions of $) Viewers (millions) 14 2 3.2 9.1 4.6 11 11 7 14 1 D 10.8 10.7 6.3 2.9 4.4 Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficient r What is the regression equation? Critical Values of the Pearson Correlation Coefficient r n α = 0.05 α = 0.01 NOTE: To test H₂: p=0 = + x (Round to three decimal places as needed.) 4 0.950 0.990 against H₁: p‡0, reject Ho 5 0.878 0.959 if the absolute value of r is 6 0.811 0.917 greater than the critical What is the best predicted number of viewers for a television star with a salary of $13 million? The…
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 40inches. Is the result close to the actual weight of 352pounds? Use a significance level of 0.05.a. Chest size (inches) 41 54 44 55 39 51 Weight (pounds) 328 528 418 580 296 503 a.What is the regression equation? b. The best predicted weight for a bear with a chest size of 39 inches is _______pounds.
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 572 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 40 40 Weight (pounds) 384 580 542 358 306 320 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=nothing+nothingx (Round to one decimal place as needed.)
The correlation between brain weight and body weight is r = 0.86. If brain weight had been measured in kilograms rather than grams, the correlation would have a value of ______ . (Give your answer to 2 decimal places.)
. Determine the regression equation using values you create for x and y for at least 10 pairs of data. Show the regression equation, correlation coefficient, and coefficient of determination. Then switch the x and y values for each data point. Based on that, again show the regression equation, correlation coefficient, and coefficient of determination. Discuss the similarities and differences between the results.
Customers at a large department store rated their satisfaction with their purchases, on a scale from 1 (least satisfied) to 10 (most satisfied). The cost of their purchases was also recorded. To three decimal places, determine the correlation coefficient between rating and purchase amount spent. Then describe the strength and direction of the relationship.
Q9: Please type your answer and show your work by typing
A correlation of 0.5. The community of having a cat and dog average is 60% and SD = 15. find the score of people having cats that show 75%.
I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before