Question

From the following Parameter Estimates table, what can we say about the significance of the regression coefficients for variables Cholesterol, Zgen and ZgenCh? Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr>It Type I SS Type ll SS Intercept Cholesterol 1 0.06411 0.087370.73 0.4650 2939.26842 317.73802 Zgen ZgenCh 1 118.30619 20.37290 5.81 <.0001 1806145 19900 1-23.90229 28.37414 -0.84 0.40181852.61008 418.77743 1 0.14340 0.12211 1.17 0.2433 813.80181 813.80181 O AVariable Cholesterol is significant to the regression B Variable Zgen is significant to the regression OCVariable ZgenCh is significant to the Regression O D None of the variables independently is significant to the Regression O E All variables are significant to the regression

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

Since p - value corresponding to all the variables are high, none of the variables independently is significant to the Regression.

Option D is correct.

Add a comment
Know the answer?
Add Answer to:
From the following Parameter Estimates table, what can we say about the significance of the regression...
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
  • Based on the ANOVA table and the Parameter Estimates table does the regression appear to be...

    Based on the ANOVA table and the Parameter Estimates table does the regression appear to be significant? (0.05 Significance) Analysis of Variance Sum of F Ratio Source DF Squares Mean Square Model 1 148.31296 148.313 11.4658 12.935 Prob > F Error 18 232.83436 C. Total 19 381.14732 0.0033* Parameter Estimates Estimate Std Error t Ratio Prob>lt Term Intercept Hydrocarbon% 11.801028 3.485119 77.8632844.198888 18.54 <.0001* 3.39 0.0033*

  • 4. Let’s compare the results you calculated for Q3b with results from a multiple linear regression....

    4. Let’s compare the results you calculated for Q3b with results from a multiple linear regression. 4a. Would additionally controlling for ‘depth’ and ‘latitude’ be helpful? In other words, is a model that includes ‘depth’, ‘latitude’ and ‘longitude’ superior in model fit to a model that includes only ‘longitude’? Output for a multiple linear regression which includes longitude, depth, and latitude is provided below. (2 points) 4b. Interpret the parameter estimate for ‘longitude’ from the multiple linear regression output. (1...

  • What type of analysis is this? ANCOVA Linear regression Logistic regression One-way ANOVA Two-way ANOVA Consider...

    What type of analysis is this? ANCOVA Linear regression Logistic regression One-way ANOVA Two-way ANOVA Consider the follow-up study data from the Evans County (Georgia) Heart Disease Study described by Cassels (1971). The data pertain to a cohort of 609 healthy white males between the ages of 40 and 76 who were residents of Evans County in 1960. The cohort was followed for 7 were identified, The level of years, after which new cases of coronary heart disease (CHD) circulating...

  • 18 QueSLIVIT TO Based on the following regression output, what is the equation of the regression...

    18 QueSLIVIT TO Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.99313 0.98630 R Square Adjusted R Square Standard Error 0.98238 2.94802 10 Observations ANOVA df SS MS Significance F Regression 4379.182 2189.591 251.943 0.0000 Residual 7 60.836 8.691 9 Total 4440.017 Coefficients Standard Error t Stat P-value Lower 95% 14.169 3.856 3.674 Intercept 0.008 5.050 X Variable 1 0.985 0.114 8.607 0.000 0.714 X Variable 0.995 0.057 17.498 0.000...

  • Please answer asap, thanks! We collect the following data to study the operation of a plant for the oxidation of ammonia to nitric acid. In the regression models, x is air flow, x2 is cooling w...

    Please answer asap, thanks! We collect the following data to study the operation of a plant for the oxidation of ammonia to nitric acid. In the regression models, x is air flow, x2 is cooling water inlet temperature and y is stack loss. The standard errors of predicted are derived from the second model. Note that 1 57.765 and Σ(x1,-%)2-871.06. StdErr Pred y 27 0.9980645052 2 0.3599917876 23 0.4203293994 24 0.5286438199 4 0.5286438199 23 0.5199911743 8 0.5148291582 8 0.5148291582 7...

  • (10 points) The following regression output is available. Notice that some of the values are missing....

    (10 points) The following regression output is available. Notice that some of the values are missing.    Predictor         Coef      SE Coef      T          P    Constant           5.932      2.558       2.320    0.068      x                    0.511                       6.083    0.001 Analysis of Variance Source                         DF          SS        MS            F        P Regression                            648.72    648.72    57.20   0.001 Residual Error                       56.70       Total                            16      705.43 Based on the information given, what is the value of sum of squares of the X’s (SSxx)? 7626.92       23.142 535.591 None of the above 1. (10 points) Consider the following partially completed computer printout for a regression analysis Based on the information provided, which of the following statements is true at a...

  • Problems 473 results from parts (a), (b), and (c). What model seems most plausible? How do the da...

    can you answer question 9 please Problems 473 results from parts (a), (b), and (c). What model seems most plausible? How do the data limit your conclusions? tle the data from Freund (1979), presented in Problem 22 in Chapter 14. Taking be model discussed there as the maximum model, repeat parts (a) through (h) of Problem 6. In part (h), note the possible role of collinearity. A random sample of data was collected on residential sales in a large city....

  • 4. Testing for significance Aa Aa Consider a multiple regression model of the dependent variable y on independent variables x1, x2, X3, and x4: Using data with n = 60 observations for each of the var...

    4. Testing for significance Aa Aa Consider a multiple regression model of the dependent variable y on independent variables x1, x2, X3, and x4: Using data with n = 60 observations for each of the variables, a student obtains the following estimated regression equation for the model given: 0.04 + 0.28X1 + 0.84X2-0.06x3 + 0.14x4 y She would like to conduct significance tests for a multiple regression relationship. She uses the F test to determine whether a significant relationship exists...

  • Suppose we conduct a study to determine the predictors of mortality among adults in an intensive...

    Suppose we conduct a study to determine the predictors of mortality among adults in an intensive care unit (ICU). We collect the vital status (STA) of 200 individuals; STA is coded as 0 if the individual “Lived” and 1 if the individual “Died”. Data on potential predictors were also collected including age (in years), presence of cancer (CAN, coded as 0=No and 1=Yes), CPR prior to ICU admission (CPR, coded as 0=No and 1=Yes), probable infection at ICU admission (INF,...

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
Active Questions
ADVERTISEMENT