EXERCISE 1Table below shows the sales and the advertising expenditure of Company A for the first nine monthsof the year 2017.Advertisingexpenditure(RM'000)Sales (RMmillion)xyyMonthJan5246Feb4842Mar61503254Apr44Mei29Jun2928Jul443940AugSept363130TotalCalculate the Pearson Product Moment correlation coefficient to determine whether there is alinear relationship between sales and advertising expenditure.

Answered: Image /qna-images/answer/48064bdd-0ebc-4e61-96a1-46cd7ded4c92.jpg

Answered: Calculate the Pearson Product Moment…

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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Calculate the Pearson product-moment correlation coefficient, r, between these two sets of data: 1, 1, 2, 2, 2 4, 3, 3, 3, 4
Show that the coefficient of determination is indeed equal to the square of the linear correlation coefficient (hence the nickname “r2”).
Where does the spurious correlation exist?
Compute for the correlation coefficient of each equation using PEARSON PRODUCT MOMENT CORRELATION COEFFICIENT (PPMCC).
WHat is the linear correlation coefficient
The symbol that is used for the linear correlation coefficient is _______.
Find Rs using spearman rank correlation coefficient
Compute the value of correlation coefficient of using data in table 1 for the number of hrs. a person works per week and thenumber of accidents or injuries that the person has over a peroid of one week. Table :1 Hrs.Worked ( x ) No. of accidents( y ) 30 2 42 3 25 4 44 8 56 5
One use of the linear correlation coefficient is as a descriptive measure of the strength of the ______relationship between two variables.
What would the scatterplot look like if two variables X and Y had a Pearson Product Moment correlation of -0,547 A) curvilinear in that it moves upward on one side and downward on the other side B) s-shaped, moving downward, then upward, then downward again C) line that moves downward (linear) D) line that moves upwards (linear)
show complete solution, use Pearson's r correlations .
In the regression modelY = β0 + β1X1 + β2X2 + εthe extent of any multi collinearity can be evaluated by finding the correlation between X1 and X2 in the sample. Explain why this is so.

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Calculate the Pearson Product Moment correlation coefficient to determine whether there is a linear relationship between sales and advertising expenditure.