Concepts to study for Test2 1. Study all of Test 1. 2. Know how to calculate the

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Concepts to study for Test2 1. Study all of Test 1. 2. Know how to calculate the t-value for a regression coefficient and how to determine the critical t-value from a table. 3. How do you calculate R?? Why do we adjust the R2 value in a multiple regression model? What is the interpretation of the R2 or adjusted R2 value? What are the limitations of the R2 value? 4. Know how to calculate the F-value in a multiple regression model. Know how to determine the critical F-value from a table. How have we used the F-statistic? 5. What are dummy variables used for in regression analysis? 6. Your job as manager of Wildcatter Oil is to identify the productivity of four different oil well platforms in the Gulf of Mexico. The oil wells appear to have different productivities depending on waves and weather. You have made numerous (three) observations of each platform's productivity and those observations are summarized in the table below. Observation Well1 Well 2 Well 3 Well 4 Means 1000 barrels 1500 barrels 300 barrels 1000 barrels 950 barrels 900 barrels 1700 barrels 350 barrels 700 barrels 912.5 barrels 1100 barrels 1900 barrels 250 barrels 700 barrels 987.5 barrels 1000 barrels 1700 barrels 300 barrels 800 barrels 950 barrels means The mean of all the oil wells is 950 barrels You have estimated a dummy variable regression of the form: where wi=1 if Well I , 0 otherwise, w2-1 if Well 2,0 otherwise, w3-1 if Well 3, 0 otherwise. What are the estimated coefficients? 7. You hypothesize that the relation between y and xl and x2 is of the form

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At Chegg we try to help student and solve your queries however we are authorized to answer 1 question and its 4 sub-parts at a time. Hence solving question no 1 and its sub-parts. Do give a thumbs up for the answer and the efforts put in.

Answer to 2

Linear regression test values are used in simple linear regression (like the z-score or T statistic). It is used in hypothesis testing, The linear regression test value is compared to the test statistic to help you support or reject a null hypothesis.

Steps would be :

Finding ‘r’ which is the correlation coefficient.

Now using the formula T=R*[(N-2)/1-R^2] we compute the test value.

Now solving the above formula we can get the T value.

Answer to 3

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