a mean difference of 0.0005 mmHg in systolic blood pressure with a p value of 0.001.analyses aDr. Johnson's findings are:O statistically insignificant and practically significantO statistically significant and practically significantO statistically insignificant and practically insignificantO statistically significant but practically insignificantQUESTION 30What does the R-squared value tell you in linear regression? (CHOOSE ALL THAT APPLY)The strength of the relationship between the explanatory variable and the response variable.If there is a positive relationship between the explanatory variable and the response variable.How much of the varlance in the response variable can be accounted for by the explanatory variable.if there is a negative relationship between the explanatory variable and the response variable.QUESTION 31spers to saegl.onswers,

We have given that the statement about to the R-squared value in linear regression. Here, need to…

Answered: QUESTION 30 What does the R-squared…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A nonprofit analyst considered two independent variables as a predictor for the dependent variable Commitment, the percent of total expenses that are allocated to charitable services. The independent variables are Revenue, total revenue in billions of dollars, andEfficiency, the percent of private donations remaining after fundraising expenses. The regression analysis resulted in this ANOVA table. Determine whether there is a significant relationship between commitment and the two independent variables at the 0.01 level of significance. Source Degrees of Freedom Sum of Squares Mean Square F p-value Regression 2 3640.0416 1820.02 51.0429 <.0001 Error 87 3102.1301 35.66 Total 89 6742.1717 Determine the p-value. The p-value is ________ (Round to three decimal places as needed.)
Fill in the blanks.a. Positive correlations between observations of the response variable result in an underestimate of_______b. Data collected from a designed experiment is generally preferable to data obtained from_______c. Adata point whose removal has a substantial effect on one or more sample regression coefficients is called an_______
Bluereef real estate agent wants to form a relationship between the prices of houses, how many bedrooms, House size in sq ft and Lot Size in sq ft.The data pertaining to 100 houses were processed using MINITAB and the following is an extract of the output obtained:The regression equation is ????? = ? + ???????? + ?????? ???? + ???? ????Predictor Coef SE Coef T PConstant 37718 14177 2.66 **Bedrooms 2306 6994 0.33 0.742House Size 74.3 52.98 * 0.164Lot Size -4.36 17.02 -0.26 0.798 S= 25023 R-Sq=56.0% R-Sq(adj)=54.6% Source DF SS MS F PRegression 3 76501718347 25500572782 *** ****Residual…
Home Sale Prices. Regarding the relationship between the sale price of a home and the predictor variables size in square feet and type of roof (tile or non-tile). In that exercise, we considered the regression of price on size and roof, the indicator variable for type of roof. a. Obtain a plot of price versus size with different plot symbols for homes having a tile roof and for homes having a non-tile roof. Based on this plot, does it appear that roof is a useful predictor variable? Explain your answer. b. Obtain the regression analysis of price on size and roof. Conduct the t-tests for the individual utility of the two predictor variables at the 5% level of significance. Interpret your results. c. Based on the output in part (b), obtain the individual regression equations relating price to size for homes having tile roofs and for homes having non-tile roofs. d. Obtain plots of residuals versus fitted values, residuals versus size, residuals versus roof, and a normal probability plot…
28
What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 8 women are shown in the table below. Time 46 60 43 39 18 20 35 18 Pounds 138 142 135 116 119 98 125 112 r2r2 = (Round to two decimal places) Interpret r2r2 : There is a 71% chance that the regression line will be a good predictor for women's weight based on their time spent on the phone. Given any group of women who all weight the same amount, 71% of all of these women will weigh the predicted amount. There is a large variation in women's weight, but if you only look at women with a fixed weight, this variation on average is reduced by 71%. 71% of all women will have the average weight. The equation of the linear regression line is: ˆyy^ = + xx (Please show your answers to two decimal places)
Which of the following refers to the variable that is being manipulated during an experiment? Independent variable Descriptive variable Constant Dependent variable
PLEASE HELP!!!
A study in the Journal of Veterinary Behavior compared daily water consumption, in mL, of domestic cats under twotreatments: water presented in a bowl or flowing water available from a motorized fountain. Each cat participated inboth treatments on different days (the order of the treatments was randomized). a) In a few sentences, explain why it’s a better idea to test the same cats in both treatments, rather than usingtwo independent samples.b) Perform a Shapiro-Wilk test on the differences and report your p-value. Is it reasonable to assume thedifferences are normally distributed?c) Veterinarians often suggest providing a water fountain to cats who need to increase their water intake.Perform 7 steps of the appropriate hypothesis test to determine if there is convincing evidence at α = 0.05that cats tend to drink more water from fountains than from a bowl.
3) What is the use of regression analysis (Please support your answer with a suitable example)? Driving Experience (years) Monthly Auto Insurance Premium 5 $64 2 87 12 50 9 71 15 44 6 56 25 42 16 60 Does the insurance premium depend on the driving experience or does the driving experience depend on the insurance premium? Do you expect a positive or a negative relationship between these two variables?
q13
Bluereef real estate agent wants to form a relationship between the prices of houses, how many bedrooms, House size in sq ft and Lot Size in sq ft. The data pertaining to 100 houses were processed using MINITAB and the following is an extract of the output obtained:The regression equation is ????? = ? + ???????? + ?????? ???? + ???? ????Predictor Coef SE Coef T PConstant 37718 14177 2.66 **Bedrooms 2306 6994 0.33 0.742House Size 74.3 52.98 * 0.164Lot Size -4.36 17.02 -0.26 0.798S= 25023 R-Sq=56.0% R-Sq(adj)=54.6%Source DF SS MS F PRegression 3 76501718347 25500572782 *** ****Residual Error 96 60109046053 626135896Total 99a) Write out the regression equation. b) Fill in the missing values *, **, *** and ****. c) Use the p-value approach to determine if ? is significant at the 5% significance leveld) Is ? significantly different from -0.5? e) Perform the F test at the 1% level, making sure to state the null and alternative hypotheses. f) Give an interpretation to the term “R-sq” and…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS