Question

Suppose you estimate the sample regression function     Mid term score = 62.33 + 4.62 x time...

Suppose you estimate the sample regression function

    Mid term score = 62.33 + 4.62 x time taken - 0.038 x Time taken^2

You should conclude that the marginal effect of time taken on midterm score is

A. 4.62.

B. -0.038.

C. 4.62 - 0.038.

D. 4.62 - 0.076 ∙ Time Taken.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Suppose we estimate a regression model containing a constant term and two explanatory variables. The analysis...
Suppose we estimate a regression model containing a constant term and two explanatory variables. The analysis is based on a sample size of 25 and produces a Durbin Watson statistic d=1.85. a. Approximately, what is the correlation coefficient between consecutive error terms? b. If this model has an R2 = .75, what is the value of the CALCULATED F statistic associated with a GLOBAL test? c. At the 1% level what is the CRITICAL value associated with a global test...
A random sample of 9 statistics students produced the following data, 1 Score, x 2 Score,...
A random sample of 9 statistics students produced the following data, 1 Score, x 2 Score, y 66 29 67 66 97 81 22 87 46 13 37 57 71 18 13 67 40 87 where x measures the 1 score and y measures the 2 score. What is the estimate of the y = a x + b regression slope coefficient?
A random sample of 9 statistics students produced the following data, 1 Score, x 2 Score,...
A random sample of 9 statistics students produced the following data, 1 Score, x 2 Score, y 47 30 70 86 65 17 46 10 58 63 57 25 81 37 27 30 69 20 where x measures the 1 score and y measures the 2 score. What is the estimate of the y = a x + b regression intercept coefficient?
Suppose you choose a real number X from the interval [3,16] with the density function f(x)=Cx,...
Suppose you choose a real number X from the interval [3,16] with the density function f(x)=Cx, where C is a constant. a) Find C. Remember that if you integrate a density function over the entire sample space interval, you should get 1. b) Find P(E), where E=[a,b] is a subinterval of [3,16] (as a function of a and b ). c) Find P(X>4) d) Find P(X<14) e) Find P(X^2−18X+56≥0) Note: You can earn partial credit on this problem.
Suppose we estimate the regression Yt = β1 + β2X2t + β3X3t + ut using 40...
Suppose we estimate the regression Yt = β1 + β2X2t + β3X3t + ut using 40 months of data. Using the residuals from this regression, we run another regression of  on the X2, X3, their squares and cross-products . From this regression we get a coefficient of determination R2 of 0.31. Let H0 be that there is no heteroscedasticity. What can you conclude? A. We cannot conclude that there is heteroscedasticity at a level of significance of 5%. B. Unable to...
Question 1 Suppose you estimate the following regression function where Y, X1, and X2 are continuous...
Question 1 Suppose you estimate the following regression function where Y, X1, and X2 are continuous variables measured in integers: Yhat=0.5+0.25*X1 −0.01*X2−0.43*X
3 Suppose that X2=X1*X1 The standard error of beta0hat is 0.10. The standard error of beta1hat is 0.05. The standard error of beta2hat is 0.005. The standard error of beta3hat is 0.05. What is the marginal effect of X1 when it increases from 3 to 4? Round to two decimal places. 10 points Question 2 Refer to question...
The following data represent the commute time​ (in minutes) x and a score on a​ well-being...
The following data represent the commute time​ (in minutes) x and a score on a​ well-being survey y. The equation of the​ least-squares regression line is ModifyingAbove y with caret equals negative 0.0522 x plus 69.3800 and the standard error of the estimate is 0.3295. Complete parts ​(a) through ​(e) below.    x 10 20 30 40 55 77 110    y 69.0 68.3 67.9 67.1 66.1 65.9 63.5 ​(a) Predict the mean​ well-being index composite score of all individuals whose commute...
Suppose the random variable X records a randomly selected student’s score on a national test, where...
Suppose the random variable X records a randomly selected student’s score on a national test, where the population distribution for the score is normal with mean 70 and standard deviation 5. A simple random sample of 200 students is taken. (a) What is the distribution of the sample mean score? Is this the exact distribution or an approximated distribution? (b) What is the probability that the sample mean will exceed 71? (c) What is the probability that the sample mean...
1. Consider the following regression line: i= -7.29 + 1.93 x YearsEducation. You are told that...
1. Consider the following regression line: i= -7.29 + 1.93 x YearsEducation. You are told that the t-ratio on the slope coefficient was 24.125. What is the standard error of the slope coefficient? A. 0.30 B. -0.08 C. 0.08 D. 1.64 2. In the simple linear regression model Yi = β0 + β1Xi + ui:   A. the absolute value of the slope is typically between 0 and 1. B. the intercept is typically small and unimportant. C. β0 + β1Xi...
1) Given the following information, what is the least squares estimate of the y-intercept? x y...
1) Given the following information, what is the least squares estimate of the y-intercept? x y 2 50 5 70 4 75 3 80 6 94 a)3.8 b)5 c) 7.8 d) 42.6 2) A least squares regression line a) can only be determined if a good linear relationship exists between x and y. b) ensures that the predictions of y outside the range of the values of x are valid. c) implies a cause-and-effect relationship between x and y. d)...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT