To test the significance of the variable X on Y, we compute the t test statistic here as:
The degrees of freedom here are computed as:
df = n - 2 = 972
Therefore for 972 degrees of freedom, the p-value here is computed from the t distribution tables as:
p = 2P( t972 < - 4.75 ) approx. = 0 < 0.05 which is the level of significance.
Therefore as the p-value here is almost equal to 0, therefore the test is significant here and we can conclude that the variable X is significant. Therefore TRUE is the correct answer here.
QUESTION 1 We consider the regression model Y= Bo+B1X u And we found for a sample...
We consider the regression model Y=Bo + B1X + u sample size of n =946 And we found for a Y=4.75 -0.1748 (0.94) (0.1840) Give the p-value for the test Ho:B1 0 H1:B1 0 (round your answer to 4 digits after the decimal). QUESTION 16 We consider the regression model Y Bo+ B1X u And we found for a sample size of n = 946 Y= 6.318 + 0.24462 (0.44) (0.1620) Give the p-value for the test Ho:B1 0 H1:B1...
We consider the regression model Y = Bo + BiX + u And we found for a sample size of n = 946 Û = 1.935 + 1.92 (-0.5429) (0.6100) Give the p-value for the test Ho:B1 = 0 Hl:B170 (round your answer to 3 digits after the decimal).
Suppose we fit the simple linear regression model (with the usual assumptions) Y = Bo+B1X+ € and get the estimated regression model ♡ = bo+bix What aspect or characteristic of the distribution of Y does o estimate? the value of Y for a given value of X the total variability in Y that is explained by X the population mean number of Y values above the mean of Y when X = 0 the increase in the mean of Y...
[For questions 10-15] Consider the following multiple regression model with two right-hand-side variables. Y; = bo + by Xli + b2 X 2 +e Question 10 1 pts Please answer whether the following equation is true or false. Y; = bo + b1 X1 + b2 X2i True False D Question 11 1 pts Please answer whether the following equation is true or false. et =Y - Ý True O False
QUESTION 1 Consider the following OLS regression line (or sample regression function): wage =-2.10+ 0.50 educ (1), where wage is hourly wage, measured in dollars, and educ years of formal education. According to (1), a person with no education has a predicted hourly wage of [wagehat] dollars. (NOTE: Write your answer in number format, with 2 decimal places of precision level; do not write your answer as a fraction. Add a leading minus sign symbol, a leading zero and trailing...
Consider the regression equation Y = Bo+B1Xi+u; where E[u;|Xi]=0 for all i = 1, ..., n. Let B 1 be the OLS estimator for B 1. Which statement is the most irrelevant to the consistency of B1? Hint: see Lecture Note 2 (p.25-p.28) a. When n is large, the estimator B 1 is near the population parameter B1 O". Consistency of B1 is mathematically written as B1-B1 VB) is inversely proportional to the sample size n. Od. RMSE is close...
Exercise 4.11 Consider the regression model Y Po PX+u Suppose that you know Bo 1. Derive the formula for the least squares estimator of p The least squares objective function is OA. n (v2-bo-bx?) i-1 Ов. O B. n (M-bo-bX) /# 1 n Click to select your answer and then click Check Answer. Exercise 4.11 OA n Σ (--B,χ?) O B. E (Y-bo-b,X)2 j= 1 n Σ (Υ-Βo-bΧ) 3. j= 1 D. n Σ (Υ-0-b,) i- 1 Click to select...
Consider the regression model: Y = Bo + B,X+u Which of the following assumptions would, if not satisfied, lead to a biased estimate of Bo and B? OE(u|X)=0 o untok- var (44)=o?, for all i Ou~ N(0,0%)
1. Consider the following regression model: Y; = Bo + B1 * Xi + Ei S&x=21 SSTx = 10, SST = 90, R2 = 0.6 n = 11 x= 10, y = 30 Where y = output in pounds and x is the amount of labor used measured in hours. a. Estimate a 95% confidence interval for ß, . What is the interpretation of this confidence interval?
Type or pas 2. Let the population regression model between a dependent variable y and an independent variable is given by y= Bo+ B1 x x+ u Suppose that E(u|x) = E(u) = 0 and V(ux) = o2. Based on a random sample ((y, ) i = 1,2,...n) of size n such that (xi- )2>0, let Bo and B be the OLS estimates of Bo and Bi respectively. Answer the following questions (c) Let B i Show that if B1...