Question

A student ran a regression and found the coefficient for the variable production budget is 534,...

  1. A student ran a regression and found the coefficient for the variable production budget is 534, and p value is 0.06. Please interpret the meaning of 534. What is your statistical conclusion if the significance level is 5%?

Homework Answers

Answer #1

Dear student,
I am waiting for your feedback. I have given my 100% to solve your queries. If you satisfied with my answer then please please like this.
Thank You

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
Suppose the following are the results of a linear regression with the voter turnout rate in...
Suppose the following are the results of a linear regression with the voter turnout rate in a county as a percentage in decimal form as the dependent variable and the unemployment rate and the amount of rain on election day in inches as the independent variables. The unemployment rate is a percentage in decimal form. The coefficient on the unemployment rate is 4.132 with a p-value of 0.003. The coefficient on the amount of rain on election day in inches...
Hill Top Products ran a regression analysis comparing total production and utility costs for the past...
Hill Top Products ran a regression analysis comparing total production and utility costs for the past six months. SUMMARY OUTPUT Regression Statistics Multiple R 0.969762217 R Square 0.940438758 Adjusted R Square 0.92058501 Standard Error 360.0073099 Observations 5 ANOVA df SS MS F Significance F Regression 1 6139184.211 6139184.211 47.36832487 0.006283174 Residual 3 388815.7895 129605.2632 Total 4 6528000 Coefficients Standard Error t Stat P-value Intercept 3056.58 454.25 6.728812231 0.006701298 X Variable 1 1.27 0.18 6.882465029 0.006283174 18.   To the nearest dollar,...
1. Compute the regression equation (regression coefficient and constant) using the same data from the previous...
1. Compute the regression equation (regression coefficient and constant) using the same data from the previous question. Compute the explained variance (R Square) and the standardized regression coefficient (beta) for this model. For R Square, Sums of Squares Explained = 235.944; Sums of Squares Total = 520. 2. Given: sample R Square 0.232; SS explained = 2848.62; SS residual = 9425.25; N = 62. Test the hypotheses Ho: R square = 0; Ha: R square NE 0 at the .05...
The following output was obtained from a regression analysis of the dependent variable Rating and an...
The following output was obtained from a regression analysis of the dependent variable Rating and an independent variable Price. (10 points) ANOVA df SS MS F Regression 1 372.707 372.707 42.927 Residual 15 130.234 8.682 Total 16 502.941 Coefficients Standard Error t Stat P-value Intercept 45.623 3.630 12.569 0.000 Price 0.107 0.016 6.552 0.000 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 of...
Following is a simple linear regression model: The following results were obtained from some statistical software....
Following is a simple linear regression model: The following results were obtained from some statistical software. R2 = 0.523 syx (regression standard error) = 3.028 n (total observations) = 41 Significance level = 0.05 = 5% Variable Parameter Estimate    Std. Error of Parameter Est. Intercept 0.519    0.132 Slope of X    -0.707 0.239 Questions: the correlation coefficient r between the x and y is? What is the meaning of R2? Show your work.
Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable)...
Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable) and X (independent variable). ANOVA df SS Regression 1 39947.80 Residual (Error) 10 8280.81 Total 11 48228.61 Coefficients Standard Error t Stat P-value Intercept 69.190 26.934 2.569 0.02795 X 2.441 0.351 6.946 0.00004 1.   What is the estimated regression equation that relates Y to X? 2.   Is the regression relationship significant? Use the p-value approach and alpha = 0.05 to answer this question. 3.   What is the...
Given the following regression output, Predictor Coefficient SE Coefficient t p-value Constant 84.998 1.863 45.62 0.000...
Given the following regression output, Predictor Coefficient SE Coefficient t p-value Constant 84.998 1.863 45.62 0.000 x1 2.391 1.200 1.99 0.051 x2 -0.409 0.172 -2.38 0.021 Analysis of Variance Source DF SS MS F p-value Regression 2 77.907 38.954 4.138 0.021 Residual Error 62 583.693 9.414 Total 64 661.600 answer the following questions: Write the regression equation. (Round your answers to 3 decimal places. Negative amounts should be indicated by a minus sign.) y= ____________ + _______________x1 + ________________ x2...
Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable)...
Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable) and X (independent variable). ANOVA df SS Regression 1 3348.312 Residual 8 9529.811 Total 9 12878.123 Coefficients Standard Error t Stat P-value Intercept 247.56 83.280 1.689 0.030 X 148.62 38.312 1.283 0.075 1. What is the estimated regression equation that relates y to x? (2 Points) 2. Is the regression relationship significant? Use a p-value and alpha = 0.05. (2 Points) 3. What is...
Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable)...
Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable) and X (independent variable). ANOVA df SS Regression 1 39947.80 Residual (Error) 10 8280.81 Total 11 48228.61 Coefficients Standard Error t Stat P-value Intercept 69.190 26.934 2.569 0.02795 X 2.441 0.351 6.946 0.00004 1.   What is the estimated regression equation that relates Y to X? (2 Points) 2.   Is the regression relationship significant? Use the p-value approach and alpha = 0.05 to answer this...
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...