Discuss the scatter plot and check assumption of 1) linearity 2) equal variance CoefficientsStandardizedUnstandardized CoefficientsCoefficientsModelBStd. ErrorBetaSig.1(Constant)77.21811.2546.861<.001Messiness324.0925513.515.002IQ.125104.1881.201.240a. Dependent Variable: Creativity ScatterplotDependent Variable: Creativity2-2-12Regression Standardized ResidualRegression Standardized Predicted Value

Answered: Discuss the scatter plot and check…

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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Similar questions

Find the variance of the time to failure for two identical units, each with a failure rate 2, placed in standby parallel configuration. Compare the result with the vari- ance of the same two units placed in active parallel configuration. Ignore switch- ing failures and failures in the standby mode.
In a study with lower quartile 100, upper quartile 140 and median as 130 How many people can have values above 140? (B) How much of the population has values above 100? (C) How much of the population has values between 130 and 140?
Show that E[Sample Variance] = Population Variance
Express variance of a variable X in terms of conditional variances.
In order to be able to statistically determine which levels of the significant main effect(s) differ dec the analysis of variance, which of the following is performed? A)t-test B)Simple linear regression analysis C)Post-hoc analysis D)Analysis of residues
Experience has shown that a grade in MAT 2371 is normally distributed with mean 66 and variance 64. Assume that the grades are independent of each other. What proportion of the class will get a grade of at least 80? 0,5656 0.0401 0.5871 0.9599 0.4129
Find the variance of the data
When using analysis of variance , the calculated F statistic will decrease as A) the variability among the groups decreases relative to the variability within the groups.B) the total variability increases.C) the total variability decreases.D) the variability among the groups increases relative to the variability within the groups.
People spend huge sums of money for the purchase of magnets used to treat a wide variety of pains. Researchers conducted a study to determine whether magnets are effective in treating back pain. Pain was measured using the visual analog scale, and the results given below are among the results obtained in the study. Assume that population variances are equal and unknown, use a = 0.05 to test the claim that those treated with magnets have a greater reduction in pain than those given a sham treatment. Find the value of the statistic. Reduction in sample sample sample pain level after magnet treatment size mean std. dev. nį = 20 | ī = 0.49 n2 = 20 | ã2 = 0.44 S1 = 0.96 S2 = 1.4 after sham treatment
Please use ANOVA
The total expenses of a hospital (dependent variable) are related to many factors. One of these factors is the number of admissions to the hospital (independent variable). Using the summary output below to answer, what is the meaning (analysis) of the coefficient of determination? SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Statistics Regression Residual Total df 0.98706 0.974288 0.972145 8.106794 Coefficients 14 1 12 13 SS 29883.07 788.6412 30671.71 Standard Error Intercept 1.518053 Admissions 0.668591 OA) is the value of Expenses with one unit increase in Admissions 3.248929 0.031354 MS 29883.07 65.7201 t Stat 0.467247 21.32375 F 454.7022 P-value 0.648693 6.59E-11 Significance F 6.59E-11 Lower 95% -5.56075 0.600276 Upper 95% 8.59686 0.736907
Choose the alternative that best answer the questions: I. Perfect multicollinearity occurs when the correlation coefficient between two independent variable is zero or closer to zero. II. Perfect multicollinearity will produce unbiased estimates II. Perfect multicollinearity will produce estimates with higher variance IV. Perfect multicollinearity should be ignored in the regression model and all variables should be kept in the model. O Only I is TRUE ALL are TRUE Only IV is TRUE O Only Il and III are TRUE

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