Question

Due on August 02, 2018 Name: Na Na Name: ID ID ID Q1. A random sample of two variables, x and y, produoed the following observations 42 3 253537 3H 31 33 19238 2829 361 8 6 I. Write the regression model. 2. Determine the regression line . What does the coefticient bl tell you. 4. Use the regression equation to determine the predicted values of y and calculate the residuals Calculate the sum squares residuals 6. Calculate the standard error of estimate. 7. Determine the coefficient of determination Interpret the R Plot the residuals against the predicted values of y. What does the graph tell you? 10. Test to determine whether the population correlation coefficient is positive. Use a significance level of 0.0S for the hypothesis test.

solve problems ( 8,9 &10)

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Answer #1

we can run the regression analysis in excel by going to data > data analysis tab and selecting regression

The r2 value is 0.7677

this means that the model is able to explain 76.77% varaition in the value of Y due to variation in the values of X

The correlation coefficient is
0.8761

hence this is a positive correlation on the higher side

please note that correlation can take values from -1 to 1 , with values near zero indicating weak correlation , negative values indicate a negative correlation

the residual plot is

looks like some information is still left from the data to be extracted as the residuals form a wavy pattern , ideally we should not be able to see any pattern in the residual graph

There are 15 data points
hence the df is this case is

df = n-2 = 13


now we check the correlation table to check for the critical value at df = 13 and alpha = 0.05

the value is 0.514 , please see the correlation table for this

as the correlation value is greater than this critical value hence we conclude that the correlation value is signficant

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