Which diagnostic test allows the researcher to claim that her model explains x-percent of the variation...
Which diagnostic test allows the researcher to claim that her model explains x-percent of the variation in the dependent variable? Multiple Choice
Durbin-Watson test
Coefficient of Determination
t-test on slope coefficient
Sum of squared residuals
None of the options are correct.
Homework Answers
Ans:
Coefficient of Determination
(coefficient of determination explains fraction of variation in the dependent variable is explained by variation in independent variable.)
Add Answer to:
Which diagnostic test allows the researcher to claim that her
model explains x-percent of the variation...
Attached are the results of a diagnostic test on an estimated model, autocorrelation, heteoskedasticity and non-normal...
Attached are the results of a diagnostic test on an estimated
model, autocorrelation, heteoskedasticity and non-normality
respectivey, can you please comment on the results and state the
conclusion for each test using a 5% significance level
Breusch-Godfrey Serial Correlation LM Test F-statistic Obs R-squared 0.7659 0.7612 0.458959 Prob. F(4,438) 1.861565 Prob. Chi-Square(4) Test Equation: Dependent Variable: RESID Method: Least Squares Date: 05/22/19 Time: 22:02 Sample: 1982M01 2019M02 Included observations: 446 Presample missing value lagged residuals set to zero. Coefficient Std....
1. Autocorrelation test Given the model Consumption, = a + B.Year + B Disposible Income, +E,...
1. Autocorrelation test Given the model Consumption, = a + B.Year + B Disposible Income, +E, and the estimated model: Model 1: OLS, using observations 1959-1995 (T = 37) Dependent variable: c t-ratio p-value const time Disposable Income Coefficient Std. Error 2707.84 385.254 80.9122 13.6539 0.508123 0.0460444 Mean dependent var Sum squared resid R-squared F(2, 34) Log-likelihood Schwarz criterion rho 11328.65 304975.4 0.998650 12577.63 -219.3165 449.4657 0.551018 S.D. dependent var S.E. of regression Adjusted R-squared P-value(F) Akaike criterion Hannan-Quinn Durbin-Watson...
The data shown below for the dependent variable, y, and the independent variable, x, have been...
The data shown below for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. X 10 15 11 19 18 17 5 17 18 y 9070 30 8020 30 5060 40 40 a. Develop a simple linear regression equation for these data. b. Calculate the sum of squared residuals, the total sum of squares, and the coefficient of determination c. Calculate the standard error of the estimate. d. Calculate the standard error for...
Consider time series yt , defined as the daily percentage change in SP500 index. A researcher...
Consider time series yt , defined as the daily
percentage change in SP500 index. A researcher estimated the
following model:
(a) There is one partial
autocorrelation coefficient that you can find from the estimation
result. What is the value of it? What is order (k ) of
it?
(b) Test the null hypothesis that the partial autocorrelation
coefficient that you have is zero against the alternative that it
is not zero.
Dependent Variable: GROWTH Method: Least Squares Date: 03/08/15 Time:...
Domestic Car Sales Consider the following multiple regression model of domestic car sales (DCS) where: DCS...
Domestic Car Sales Consider the following multiple regression model of domestic car sales (DCS) where: DCS = domestic car sales DCSP = domestic car sales price (in dollars) PR = prime rate as a percent (i.e., 10% would be entered as 10) Q2 = quarter 2 dummy variable Q3 = quarter 3 dummy variable Q4 = quarter 4 dummy variable Multiple Regression — Result Formula DCS = 3,266.66 + ((DCSP) × −0.098297) + ((PR) × −21.17) + ((Q2) × 292.88)...
The following output resulted from a regression model where SAGap is seasonally adjusted Gap sales and...
The following output resulted from a regression model where SAGap is seasonally adjusted Gap sales and dpi is disposable income per capita. Audit Trail -- Coefficient Table (Mulitple Regression Selected) Series Description Included in Model Coefficient Standard Error T-test P-value F-test Elasticity SAGAP Dependent - 2,867,564.78 140,536.33 - 20.40 0.00 416.34 dpi Yes 809.79 25.04 32.33 0.00 1,045.55 2.91 Audit Trail -- Correlation Coefficient Table Series Description Included in Model SAGap dpi SAGap Dependent 1.00 0.97 dpi Yes 0.97 1.00...
A multiple linear regression model based on a sample of 30 weeks is developed to predict...
A multiple linear regression model based on a sample of 30 weeks is developed to predict standby hours based on the total staff present and remote hours. The SSR is 24672.31and the SSE is 32019.36. Complete parts (a) through (d) below. a. Determine whether there is a significant relationship between standby hours and the two independent variables (total staff present and remote hours) at the 0.05 level of significance. What are the correct hypotheses to test? H0:________________ H1: ________________ Calculate...
The data shown below for the dependent variable, y, and the independent variable, x, have been ...
The data shown below for the dependent variable, y, and the
independent variable, x, have been collected using simple random
sampling.
x y
11 100
13 80
15 80
12 90
20 60
17 60
15 70
13 90
15 90
17 80
a. Complete the linear regression equation below Round to one decimal place as needed.) b. Calculate the sum of the squared residuals. SSE-L (Round to the nearest whole number as needed) What is the total sum of...
2. Multiple restriction test You have just been hired at the Center for Disease Control in...
2. Multiple restriction test You have just been hired at the Center for Disease Control in Atlanta as an econometrician specializing in quantitative epidemiological studies. Anthony Fauci, you like to call him Tony, just entered the room with your first assignment. He wants to look as the relevant factors associated with the US mortality rate. He asks you to estimate the following model. Mortality Rate = a + B,Income + B,Poverty; + B, Proportion HS; + B. Proportion College +...
2. Use the data in hpricel.wfl uploaded on Moodle for this exercise. We assume that all assump- tions of the Classical Linear Model are satisfied for the model used in this question....
2. Use the data in hpricel.wfl uploaded on Moodle for this exercise. We assume that all assump- tions of the Classical Linear Model are satisfied for the model used in this question. (a) Estimate the model and report the results in the usual form, including the standard error of the regression. Obtain the predicted price when we plug in lotsize - 10, 000, sqrft - 2,300, and bdrms- 4; round this price to the nearest dollar. (b) Run a regression...
Attached are the results of a diagnostic test on an estimated
model, autocorrelation, heteoskedasticity and non-normality
respectivey, can you please comment on the results and state the
conclusion for each test using a 5% significance level
Breusch-Godfrey Serial Correlation LM Test F-statistic Obs R-squared 0.7659 0.7612 0.458959 Prob. F(4,438) 1.861565 Prob. Chi-Square(4) Test Equation: Dependent Variable: RESID Method: Least Squares Date: 05/22/19 Time: 22:02 Sample: 1982M01 2019M02 Included observations: 446 Presample missing value lagged residuals set to zero. Coefficient Std....
1. Autocorrelation test Given the model Consumption, = a + B.Year + B Disposible Income, +E, and the estimated model: Model 1: OLS, using observations 1959-1995 (T = 37) Dependent variable: c t-ratio p-value const time Disposable Income Coefficient Std. Error 2707.84 385.254 80.9122 13.6539 0.508123 0.0460444 Mean dependent var Sum squared resid R-squared F(2, 34) Log-likelihood Schwarz criterion rho 11328.65 304975.4 0.998650 12577.63 -219.3165 449.4657 0.551018 S.D. dependent var S.E. of regression Adjusted R-squared P-value(F) Akaike criterion Hannan-Quinn Durbin-Watson...
The data shown below for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. X 10 15 11 19 18 17 5 17 18 y 9070 30 8020 30 5060 40 40 a. Develop a simple linear regression equation for these data. b. Calculate the sum of squared residuals, the total sum of squares, and the coefficient of determination c. Calculate the standard error of the estimate. d. Calculate the standard error for...
Consider time series yt , defined as the daily
percentage change in SP500 index. A researcher estimated the
following model:
(a) There is one partial
autocorrelation coefficient that you can find from the estimation
result. What is the value of it? What is order (k ) of
it?
(b) Test the null hypothesis that the partial autocorrelation
coefficient that you have is zero against the alternative that it
is not zero.
Dependent Variable: GROWTH Method: Least Squares Date: 03/08/15 Time:...
The data shown below for the dependent variable, y, and the
independent variable, x, have been collected using simple random
sampling.
x y
11 100
13 80
15 80
12 90
20 60
17 60
15 70
13 90
15 90
17 80
a. Complete the linear regression equation below Round to one decimal place as needed.) b. Calculate the sum of the squared residuals. SSE-L (Round to the nearest whole number as needed) What is the total sum of...
2. Multiple restriction test You have just been hired at the Center for Disease Control in Atlanta as an econometrician specializing in quantitative epidemiological studies. Anthony Fauci, you like to call him Tony, just entered the room with your first assignment. He wants to look as the relevant factors associated with the US mortality rate. He asks you to estimate the following model. Mortality Rate = a + B,Income + B,Poverty; + B, Proportion HS; + B. Proportion College +...
2. Use the data in hpricel.wfl uploaded on Moodle for this exercise. We assume that all assump- tions of the Classical Linear Model are satisfied for the model used in this question. (a) Estimate the model and report the results in the usual form, including the standard error of the regression. Obtain the predicted price when we plug in lotsize - 10, 000, sqrft - 2,300, and bdrms- 4; round this price to the nearest dollar. (b) Run a regression...
Most questions answered within 3 hours.
-
Please write as a short answer
You have heartburn and a two hour working session on...
asked 1 minute ago -
Please solve with excel and mention the excel function.
Thanks
Kevin deposits $10,000 in a savings...
asked 2 minutes ago -
Which Special Journal would the following transaction be
journalized in?
Sold merchandise on account to Customer...
asked 15 minutes ago -
Assuming 100% dissociation, calculate the freezing point (?fTf)
and boiling point (?bTb) of 1.45 ? K3PO4(aq)1.45...
asked 17 minutes ago -
An inflated helium balloon with a volume of 0.35L at
sea level (1.0 atm) was allowed...
asked 19 minutes ago -
Python 3.0 Please
Write a function that takes, as arguments, a binary string, a
list of...
asked 47 minutes ago -
(a) Calculate the momentum of a 2150 kg elephant charging a
hunter at a speed of...
asked 34 minutes ago -
all the following is an example of a fixed cost except: any cost
that changes in...
asked 36 minutes ago -
Briefly describe the changes in pupil diameter that occur with
changes in light intensity or distance...
asked 36 minutes ago -
A small sample from a vial of phenol melts at 39-40 °C. A larger
sample from...
asked 39 minutes ago -
Draw a δ-lysine amino acid and label all the carbons (alpha,
beta, gamma, etc.)
asked 52 minutes ago -
A uniform thin rod of length 0.97 m and mass 2.2 kg lies in a
horizontal...
asked 44 minutes ago