Question

You have fitr a simple regression model to monthly time series data nad the model is...

You have fitr a simple regression model to monthly time series data nad the model is Y1 = 1.2 + 0.5^t. What is the interpretation of 0.5, the coefficient associated with t?

0 0
Add a comment Improve this question Transcribed image text
Answer #1

Solution:

simple regression model to monthly time series data nad the model is Y1 = 1.2 + 0.5^t.

Now here we have to give the interpretation of 0.5 coefficient of association.

Here 0.5 is the value the slope in the regression line therefore it represents the change in the predicted value of Y1 when the value of t is one unit.

Thank You..!!

please like it...

Add a comment
Know the answer?
Add Answer to:
You have fitr a simple regression model to monthly time series data nad the model is...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • Q3. [10 points [Serial Correlation Consider a simple linear regression model with time series dat...

    Q3. [10 points [Serial Correlation Consider a simple linear regression model with time series data: Suppose the error ut is strictly exogenous. That is Moreover, the error term follows an AR(1) serial correlation model. That where et are uncorrelated, and have a zero mean and constant variance a. 2 points Will the OLS estimator of P be unbiased? Why or why not? b. [3 points Will the conventional estimator of the variance of the OLS estimator be unbiased? Why or...

  • Time series regression model

    Please calculate the 18th, 19th, 20th demand with the data and the time series regression model in the attachment.

  • Time series regression model

    Please calculate the 18th, 19th, 20th demand with the data and the time series regression model in the attachment.

  • In time series data, linear regression allows to incorporate in the model... (a) a linear time...

    In time series data, linear regression allows to incorporate in the model... (a) a linear time trend (b) an exponential time trend (c) a quadratic time trend (d) all of the previous

  • (13 points) Suppose you have a simple linear regression model such that Y; = Bo +...

    (13 points) Suppose you have a simple linear regression model such that Y; = Bo + B18: +€4 with and N(0,0%) Call: 1m (formula - y - x) Formula: F=MSR/MSE, R2 = SSR/SSTO ANOVA decomposition: SSTOSSE + SSR Residuals: Min 1Q Modian -2.16313 -0.64507 -0.06586 Max 30 0.62479 3.00517 Coefficients: Estimate Std. Error t value Pr(> It) (Intercept) 8.00967 0.36529 21.93 -0.62009 0.04245 -14.61 <2e-16 ... <2e-16 .. Signif. codes: ****' 0.001 '** 0.01 '* 0.05 0.1'' 1 Residual standard...

  • In a simple regression model, the value of the t-statistic, which tests the null hypothesis that...

    In a simple regression model, the value of the t-statistic, which tests the null hypothesis that the slope true slope coefficient is zero, is equal to 2. The F- statistic that tests the null hypothesis that the true coefficient of determination is zero is equal to: 4 6 O 2 0.5

  • Question 3 (5 points) Question 1(C): You have performed a simple linear regression model to understand...

    Question 3 (5 points) Question 1(C): You have performed a simple linear regression model to understand the effect of Number of Bedrooms on House Price House Price is in Thousand S and Number of Bedrooms is in number of bedrooms Coefficient t-statistic p-value Intercept 28.77 6.52 <0.000 Number of Bedrooms 13.27 9.18 <0.000 Which of the below statement is true. Select one option from below: O p-value<0.001 implies that we cannot reject the null hypothesis. O p-value<0.001 implies that the...

  • 1.) What is the difference between a simple regression model and a multiple regression model? a.)...

    1.) What is the difference between a simple regression model and a multiple regression model? a.) There isn’t one. The two terms are equivalent b.) A simple regression model has a single predictor whereas a multiple regression model has potentially many c.) A simple regression model can handle only limited amounts of data whereas a multiple regression model can handle large data sets d.) A simple regression is appropriate for a dichotomous outcome variable, whereas a multiple regression model should...

  • Given a simple linear regression model with a sample size of n = 2; The sample...

    Given a simple linear regression model with a sample size of n = 2; The sample data: (y1, x1), (y2, x2) (a) State the two normal equations in terms of the sample data (b) If there is only one observation (y1, x1) in the sample, how would the two normal equations look like? (c) What conclusion can we draw from the answer in part (a) and (b)?

  • Simple Linear regression 1. A researcher uses a simple linear regression to measure the relationship between...

    Simple Linear regression 1. A researcher uses a simple linear regression to measure the relationship between the monthly salary (Salary measured in dollars) of data scientists and the number of years since being awarded a Master degree (Master Degree). A random sample of 80 observations was collected for the analysis. A researcher used the econometric model which has the following specification Salary,-β0 + β, Master-Degree, + εί, where i = 1, , 80 The (incomplete) Excel output of equation (1)...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT