Heteroskedasticity TestsStatisticBreusch-Pagan16.3< .001Goldfeld-Quandt0.2870.999Harrison-McCabe0.7611.000Note. Additional results provided by moretestsDurbin-Watson Test for AutocorrelationAutocorrelation DW Statistic p0.01681.960.832Collinearity StatisticsVIE ToleranceIQ (Father) 4.82 0.208IQ (Mother) 4.82 0.208 Do the following as indicated: (Use the data below)1. Report the assumption check and its interpretation just select only one test. (First Paragraph)2. Give the complete report of the results of the Multiple Linear Regression Analysis such as the dependent variable is the IQ of the son and itsindependent variables are the IQ of the fathers and the IQ of the mothers. (Second Paragraph)3. Give your analysis. (Third Paragraph)Linear RegressionModel Fit MeasuresOverall Model TestModel RR?df1 df2 p10.976 0.953 640 2 63 <.001Model Coefficients - IQ (Son)PredictorEstimate SEtStand. EstimateIntercept-11.407 3.3748 -3.38 0.001IQ (Father) 0.299IQ (Mother) 0.8000.0658 4.54 < .001 0.2720.0659 12.13 < .001 0.726Assumption ChecksNormality TestsStatistic pShapiro-Wilk0.9610.038Kolmogorov-Smirnov0.09860.511Anderson-Darling0.8670.025Note. Additional results provided by moretests

1. Assumptions, interpretations and tests: The assumptions of Multiple Regression Model are as…

Answered: Do the following as indicated: (Use the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Test the claim that there are an equal number of cesarian births on each day of the week. Starting with Monday the number of cesarian births una. Sample each day are 42, 51, 40, 47, 75, 43, and 45. The critical value is with six degrees of freedom is X2r= 16.812
In a multiple regression, which of the following tests can be used to determine if the relationship between the dependent variable and the set of independent variables is significant? The Coefficient Of Determination R-Squared for each coefficient of the X variables & an F- Statistic Test for the overall regression F-Statistic tests for each coefficient & a t-test for the overall regression The Coefficient Of Determination R-Squared and/or an F-Statistic Test for the overall regression & t-tests for each coefficient of the X variables t-tests for each coefficient and for the overall regression
Write the formula for the estimated regression line and interpret the slope of the estimated regression line, the intercept of the estimated regression line- Is it meaningful?, and the estimated R2. Based on the fitted regression model, what is the predicted ATST for a child who is 7 years old? What is the correlation between AGE and ATST? Does the residual plot suggest that the fitted regression line is inappropriate for these data? Explain why or why not. Suppose that a new subject is added to the study data and that subject is 12.5 years old with an ATST of 580 minutes. If the regression model were to be refit with this additional data point, would the new slope be greater than or less than -14.041? Justify your response.
If the linear correlation between two variables is negative, what can be said about the slope of the regression line? ..... Choose the correct answer below. A. More information is needed B. Negative C. Positive
please answer the question and show work!! thank you also please make sure if writing on paper handwriting can be read thank you again :)
1. Why is the error term included in the regression model? 2. Why we don't prefer to apply the Spearman correlation on the quantitative variables? 3. Compare between the roles of both the regression coefficient and the correlation coefficient. Can the values of regression coefficient and the correlation coefficient have different signs? Explain. 4. Explain the meaning of independent and dependent variables for a regression model. Explain the difference between a simple and a multiple regression model. 5. What is difference between the normal and the standard normal distributions?
Prev The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, y = bo + b₁x, for predicting the number of bids an Item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, In practice, It would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Price in Dollars 28 33 36 42 45 Number of Bids 1 7 8 9 10 Step 3 of 6: Find the estimated value of y when x = 33. Round your answer to three decimal places. Table Copy Data Next
What's a good topic for a regression topic? Make sure you have two quantitative variables (for example # of siblings and heart rate). Ask for another variable like academic year, major, hobbies, favorite genre of movie. - State the independent and dependent variables and what is the population.
1. If we choose the significance level α=0.05, is Gender a significant factor in explaining Salary? Explain. 2. Use Excel’s Data Analysis tool to conduct a multiple regression, using Salary as the dependent variable, and all the rest of variables as independent variables.(Choose confidence level at 95 %.) 3. Based on the multiple regression analysis output, write the estimated regression equation. (Keep 2 decimal places) Salary Gender Years Of Service Years Of Education 52,100 0 5 13 55,015 0 20 13 55,520 0 23 12 43,430 0 7 12 43,813 0 5 12 51,903 0 6 12 54,580 0 24 14 54,913 0 18 12 52,100 0 29 12 50,693 0 14 12 47,878 0 10 12 46,555 0 6 14 47,878 0 7 16 47,878 0 9 12 54,913 0 16 13 50,123 0 4 13 50,693 0 20 12 48,933 0 29 12 58,270 0 12 12 50,538 0 5 13 48,933 0 12 12 45,078 0 5 12 47,878 0 5 14 53,508 0 24 12 42,250 0 1 16 53,508 1 8 15 42,250 1 3 15 47,808 1 1 13 50,180 1 11 13 44,163 1 9 10 41,718 1 3 10 47,878…
write the regression code for the following data based on the below instruction, in STATA. hint: occupation=a categorical variable equal to ”1” if a person’s occupation is ”management”; ”2” if it is ”sales”; ”3” if it is ”clerical”, ”4” if it is ”service”, ”5” if it is ”professional” and ”6” if it is ”other”. Please make sure to use ”other” as the base category;
Below table contains a data sample where X is the independent, and Y the dependent variable. Using the data, please conduct a regression analysis. Determine first the regression equation with the help of below graph and table, then answer all the questions. 1. The value of cell a is 2. The value of cell b is 3: The value of cell c is 4: The value of cell d is 5: The value of cell e is 6: The value of cell f is 7: The value of cell g is 8. The value of cell h is 9: The value of cell i is 10: The value of cell j is 11: The value of cell k is 12: The value of cell l is 13: The value of cell m is 14: The value of cell n is 15: The value of cell o is 16: The value of cell p is 17: The value of cell q is 18: The value of cell r is 19: The value of cell s is 20: The value of cell t is 21: The value of cell u is 22: The value of cell v is 23: The value of cell w is 24: The value of cell x is 25: The value of cell y is 26: The value of cell z is 27: The value of cell aa is 28: The value of cell…

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