Question

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 represents the population regression function.
  • D. β0 + β1Xi represents the sample regression function.
Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Consider the simple regression model yi = β0 + β1xi + ei,i = 1,...,n. The Gauss-Markov...
Consider the simple regression model yi = β0 + β1xi + ei,i = 1,...,n. The Gauss-Markov conditions hold and also ei ∼ N(0,σ). Suppose we center both the response variable and the predictor. Estimate the intercept and the slope of this model.
1. Consider the model Ci= β0+β1 Yi+ ui. Suppose you run this regression using OLS and...
1. Consider the model Ci= β0+β1 Yi+ ui. Suppose you run this regression using OLS and get the following results: b0=-3.13437; SE(b0)=0.959254; b1=1.46693; SE(b1)=21.0213; R-squared=0.130357; and SER=8.769363. Note that b0 and b1 the OLS estimate of b0 and b1, respectively. The total number of observations is 2950.According to these results the relationship between C and Y is: A. no relationship B. impossible to tell C. positive D. negative 2. Consider the model Ci= β0+β1 Yi+ ui. Suppose you run this...
Here is the "theoretical" regression equation: yi = β0 + β1xi + εi 1. Select the...
Here is the "theoretical" regression equation: yi = β0 + β1xi + εi 1. Select the appropriate name for each component of the equation. yi:  ---Select--- The linear correlation coefficient The population intercept The estimated intercept The population slope The estimated slope The LOBF The "random error" term The predictor variable The response variable The confounding variable The sampling bias β0:  ---Select--- The linear correlation coefficient The population intercept The estimated intercept The population slope The estimated slope The LOBF The "random...
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated...
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated average predicted value, X – predictor, Y-intercept (b1), slope (b0) B. Y - estimated average predicted value, X – predictor, Y-intercept (b0), slope (b1) C. X - estimated average predicted value, Y – predictor, Y-intercept (b1), slope (b0) D. X - estimated average predicted value, Y – predictor, Y-intercept (b0), slope (b1) The slope (b1) represents A. the estimated average change in Y per...
Consider a linear regression model where y represents the response variable, x is a quantitative explanatory...
Consider a linear regression model where y represents the response variable, x is a quantitative explanatory variable, and d is a dummy variable. The model is estimated as  yˆy^  = 15.4 + 3.6x − 4.4d. a. Interpret the dummy variable coefficient. Intercept shifts down by 4.4 units as d changes from 0 to 1. Slope shifts down by 4.4 units as d changes from 0 to 1. Intercept shifts up by 4.4 units as d changes from 0 to 1. Slope shifts...
Suppose we have a simple linear regression with following printout. Coefficients:                         Estimate Std.    E
Suppose we have a simple linear regression with following printout. Coefficients:                         Estimate Std.    Error    t value Pr(>|t|) (Intercept)        -0.06811     0.08375      -0.813      0.421 X                     0.86818     0.40886      2.1234      0.046 a. What is the p-value for testing the slope H0: β1=0 vs. Ha: β1>0? b. Suppose we had a. F-test for adequacy of this regression. What is the value of the test statistic? What is the p-value? c. Suppose the sample correlation coefficient of x and y is 0. 852.How...
Econ 3050 Q7. When every member of the accessible population has an equal chance of being...
Econ 3050 Q7. When every member of the accessible population has an equal chance of being selected to participate in the study, the researcher is using: a)     Simple random sampling b)     Stratified random sampling c)     Convenience sampling d)     Purposive random sampling Q8. A regression line has been found that has nearly all the points lying directly on the line, and only a few of them stray away from the line. Therefore, the standard error of the estimate is likely to...
1. Consider regression through the origin, y=β1x1+β2x2+u, which of the following statements is wrong? a. The...
1. Consider regression through the origin, y=β1x1+β2x2+u, which of the following statements is wrong? a. The degree of freedom for estimating the variance of error term is n−2. b. The sum of residuals equals to 0. c. If the true intercept parameter doesn’t equal to 0, all slope estimators are biased. d. The residual is uncorrelated with the independent variable. 2. Which of the following statements is true of hypothesis testing? a. OLS estimates maximize the sum of squared residuals....
Consider the simple linear regression model y=10+30x+e where the random error term is normally and independently...
Consider the simple linear regression model y=10+30x+e where the random error term is normally and independently distributed with mean zero and standard deviation 1. Do NOT use software. Generate a sample of eight observations, one each at the levels x= 10, 12, 14, 16, 18, 20, 22, and 24. Do NOT use software! (a) Fit the linear regression model by least squares and find the estimates of the slope and intercept. (b) Find the estimate of ?^2 . (c) Find...
1. The following output was obtained from a regression analysis of the dependent variable Rating and...
1. The following output was obtained from a regression analysis of the dependent variable Rating and an independent variable Price.                                                         Anova df SS MS f Regression 1 301.701 301.701 32.94 Residual 15 128.221 9.1586 Total 16 429.922 Coefficients Standard Error T Stat P value Intercept 45.623 3.630 12.569 0.000 Price .107 0.016 6.552 0.002 a. Use the critical value approach to perform an F test for the significance of the linear relationship between Rating and Price at the 0.05 level...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT