Question

if the val of the samp. coeff of correlation is neg, the estimated slope parameter must...

if the val of the samp. coeff of correlation is neg, the estimated slope parameter must be positve. T or F

The total sum of square(s) in a regresssion mod will neverr exceed the regresssion sum of squares T or F

Homework Answers

Answer #1

1) False

Slope represents the direction of the regression equation line, if it is positive then association between the variables is also positive. If slope is negative then there is negative correlation exists between the variables.

2) False

SST = SST + SSE

Total sum of square = regression sum of square + error sum of square

Since total sum of square is addition of regression sum of square and error sum of square , it obvious that it is greater than regression sum of square.

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
Serial correlation (or autocorrelation) causes estimates of the slope parameter β to be overestimated on average....
Serial correlation (or autocorrelation) causes estimates of the slope parameter β to be overestimated on average. estimates of the standard errors to be understated on average. estimates of the T values of be understated on everage. slope parameter β to be understated on average.
X Y 1 50 8 57 11 43 16 18 20 18 Use the estimated regression...
X Y 1 50 8 57 11 43 16 18 20 18 Use the estimated regression equation is y = 61.5 – 2.21x. A). Compute the Mean Square Error Using Equation. S^2 = MSE = SSE/(n-2) B). Compute The Standard Error of the estimate using equation. S = SQRT(MSE) = SQRT[SSE/(n-2)] C). Compute the estimated Standard Deviation of b1 using equation. Sb1 = S/SQRT[SUM(x-(x-bar))^2] D). Use the t-test to test the following hypothesis (α = 0.05) H0: β1 = 0...
__________ refers to the degree of correlation among independent variables in a regression model. a. Multicollinearity...
__________ refers to the degree of correlation among independent variables in a regression model. a. Multicollinearity b. Confidence level c. Rank d. Tolerance __________ is used to test the hypothesis that the values of the regression parameters ß1, ß2, ...ßq are all zero. a. Extrapolation b. A t test c. An F test d. The least squares method What would be the coefficient of determination if the total sum of squares (SST) is 23.29 and the sum of squares due...
Given are five observations for two variables, x and y. xi 1 2 3 4 5...
Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 4 7 6 11 14 The estimated regression equation is  = 1.2 + 2.4 x. Compute the mean square error using the following equation (to 3 decimals). Compute the standard error of the estimate using the following equation (to 3 decimals). Compute the estimated standard deviation b 1 using the following equation (to 3 decimals). Use the t test to test the following hypotheses...
f. Interpret the slope coefficient for one of the dummy variables included in your regression model....
f. Interpret the slope coefficient for one of the dummy variables included in your regression model. g. For the slope coefficient of the variable with the smallest slope coefficient (ignore sign, use absolute value), test to see if the “a priori” expectation from part (a) is confirmed. Use alpha = 0.05. h. Interpret the coefficient of determination in this situation. i. Test the explanatory power of the entire regression model. Please use alpha = 0.01. j. For the variable with...
Model Summary Model R R Square Adjusted R Square      Std. Error of the Estimate 1...
Model Summary Model R R Square Adjusted R Square      Std. Error of the Estimate 1 .816 .666 .629 1.23721 a. Predictors: (Constant),x         ANOVA     Model Sum of Squares df Mean Square F                       Sig Regression Residual Total 27.500 13.776 41.276 1 9 10 27.500 1.531 17.966                 .002b                    a. Dependent Variable: Y                    b. Predictors: (Constant), X Coefficients Model Understand Coefficients B               Std Error Standardized Coefficients      Beta t Sig 1 (Constant)        x 3.001             1.125 .500                 .118 .816 2.667...
Given are five observations for two variables, x and y . xi 1 2 3 4...
Given are five observations for two variables, x and y . xi 1 2 3 4 5 yi 53 58 47 21 11 Use the estimated regression equation is y-hat = 78.01 - 3.08x A.) Compute the mean square error using equation. s^2 = MSE = SSE / n -2 [     ]   (to 2 decimals) B.) Compute the standard error of the estimate using equation s = sqrtMSE = sqrt SSE / n - 2 [      ] (to 2 decimals)...
A firm estimated its short-run costs using an average variable cost function of the form AVC...
A firm estimated its short-run costs using an average variable cost function of the form AVC = a + bQ + cQ2 And obtained the following results. Total fixed cost is $1,500.         DEPENDENT VARIABLE: AVC R-SQUARE F-RATIO P-VALUE ON F OBSERVATIONS: 40 0.8273 88.65 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT 38.05 11.87 3.21 0.0028 Q -4.20 1.56 -2.69 0.106 Q2 0.30 0.09 3.33 0.0020 The estimated marginal cost function is: MC = 38.05 – 8.4Q + 0.9Q2...
The chief economist for Argus Corporation, a large appliance manufacturer, estimated the firm’s short- run cost...
The chief economist for Argus Corporation, a large appliance manufacturer, estimated the firm’s short- run cost function for vacuum cleaners using an average variable cost function of the form                                                 AVC = a + bQ + cQ2 where AVC dollars per vacuum cleaner and Q number of vacuum cleaners produced each month. Total fixed cost each month is $180,000. The following results were obtained: DEPENDENT VARIABLE: AVC R-SQUARE F-RATIO P-VALUE ON F OBSERVATIONS: 19           0.7360           ...
Based on the charts below, Determine  whether a statistically reliable oil consumption model can be estimated Variables...
Based on the charts below, Determine  whether a statistically reliable oil consumption model can be estimated Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Number People, Home Index, Degree Days, Customerb . Enter a. Dependent Variable: Oil Usage b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .889a .790 .766 85.445 a. Predictors: (Constant), Number People, Home Index, Degree Days, Customer ANOVAa Model Sum of Squares df Mean Square...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT
Active Questions
  • Emerald Co. uses a perpetual inventory system and records purchases of merchandise at net cost. The...
    asked 29 minutes ago
  • Movie stars and U.S. presidents have fished Pyramid Lake. It is one of the best places...
    asked 1 hour ago
  • what advantages do percent distributions have over frequency distributions when comparing populations at different years?
    asked 1 hour ago
  • Richard has just been given a 6-question multiple-choice quiz in his history class. Each question has...
    asked 1 hour ago
  • Write about westernized elements in life; westernization in our life, and this includes Americanization.
    asked 2 hours ago
  • The college Physical Education Department offered an Advanced First Aid course last summer. The scores on...
    asked 2 hours ago
  • Researchers hypothesized that increasing a woman's level of arousal would increase her perceptions of attractiveness of...
    asked 2 hours ago
  • Equation 37-14b in the textbook gives the energy emitted by Hydrogen when electrons transition between states...
    asked 2 hours ago
  • Theory of Computation Please provide explanation too on how it works a. Give an NFA recognizing...
    asked 2 hours ago
  • Question 1 A sequential pattern detection circuit (state machine) has input A and output Y, which...
    asked 2 hours ago
  • Natural Foods Inc. is planning to invest in new manufacturing equipment to make a new garden...
    asked 3 hours ago
  • Explain why a callable bond's price would be expected to decline less than an otherwise comparable...
    asked 3 hours ago