In the 5 models above, which variable, by itself, explains the greatest proportion of total variance in Y? What is this proportion of variance explained by this predictor alone? Regression formulaIntercept PPredictor PY = 105.055 + 0.4306 * X10.0496<0.0001Y = 949.90 - 0.06169 * X2<0.00010.3974Y = 58.286 + 13.7604 * X30.7657<0.0001Y = -105.755 + 24.736 * X40.81400.0204Y = 182.828 + 0.600* X50.1569<0.0001

Predictor P for variable X3 is larger among all other variables. Hence variable X3 explains that…

Answered: In the 5 models above, which variable,…

In the 5 models above, which variable, by itself, explains the greatest proportion of total variance in Y? What is this proportion of variance explained by this predictor alone?

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

Related questions

Q: assumptions are required to perform an analysis of variance.

A: What is Analysis of Variance (ANOVA)? Analysis of variance (ANOVA) is an analysis tool used in…

Q: f the correlation between x an y is .67, what percent of the variance is shared variance…

A: Let x be the independent variable Let y be the dependent variable The correlation between x and y…

Q: In simple regression, the percentage of variance in Y that can be explained by X is identified by

A: We know that, in any regression model, we need to measure the model accuracy i.e. we need to check…

Q: Identify three statistics that can be used as a basis for testing the utility of a regression.

Q: 26 A marketing manager conducts a simple regression analysis with units sold as a function of…

A: Solution: Given information: β1^= -0.064 slope of the regression line r2= 0.5625 Coefficient of…

Q: grade polnt ave article states that "among these, SAT II scores are the best predictor, explaining…

A: It is given that y=first year college GPA and x =high school GPA.

Q: Financial Managers, Inc., buys and sells a large number of stocks routinely for the various accounts…

A: To compute the variance of a joint probability distribution we need to compute the covariance first.

Q: In a quantitative dataset, which would be smaller, the standard deviation or the standard error of…

A: Since you have asked multiple questions, we will solve the first question for you. If you want any…

Q: 11. When the effect of a level for one factor depends on which level of the other factor is present,…

A: Given : When the effect of a level for one factor depends on which level of the other factor is…

Q: To obtain a maximum amount of variance, an item ought to have a degree of difficulty of what?

A: To obtain a maximum amount of variance an item ought to have a degree of difficulty is the number of…

Q: OLS Regression is intended to determine which variables cause the variance of a dependent variable,…

A: False Both old regression and regression are used to find the equation which shows the relationship…

Q: Chemist Ellen has developed four different types of fertilizers for trees. She used the fertilizer…

A: The one-way analysis of variance is a statistical technique used for the comparison of more than two…

Q: At a = 0.05 level of significance, test to see if the variance of the Internationl customers is…

A: Given,the variances of deposits of domestic customers and international customers.To test whether…

Q: A study’s ability to reveal a statistically significant difference between the levels of an…

A: The power of any test of statistical significance, it is defined as the probability, it will reject…

Q: Professor Hayashi wants to see if a new Canvas Homework system has an effect on how well students…

A: Effect Size: We want to compute the Cohen's d. The following information has been provided: Xˉ=81.7…

Q: The researcher found that the model’s effect size was very large where r = .957. Furthermore, r2 =…

A: The given information is, The value of correlation coefficient is, r = 0.957 The value of…

Q: What percentage of the variation in can be explained by the corresponding variations in and taken…

A: X1 is the dependent variable X2 and X3 are the independent variables.

Q: The researcher found that the model’s effect size was very large where R = .957. Furthermore, R2 =…

Q: A researcher wishes to test if the variance of scores on a particular exam is the same for college…

A: The given hypothesis is H0:σA2σB2=1 Versus Ha:σA2σB2≠1

Q: The weight of 2 month old babies is normally distributed with a mean of 12 pounds and a variance of…

A: From the given information, μ=12σ=9 a. The required percentage of weight more than Tina's weight…

Q: o perform a test to determine whether we have a significant linear relationship using an F test,…

A: To test the significance linear relationship between the variables analysis of variance (ANOVA) is…

Q: According to the National Health Interview Survey, 2007, Avg height for men = 69.93 inches…

A: The average weight for men is 192.78 lbs.

Q: What is the expression for PROPORTION OF EXPLAINED VARIANCE, η2 (ONE-FACTOR ANOVA)?

A: The proportion of explained variance is known as the coefficient of determination. It is the ratio…

Q: Suppose that we survey a random sample of 100 adults living in Contra Costa County and find that 62%…

A: Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts. In case…

Q: If a set of data is normally distributed with a mean of 20 and a variance of 16, a z-score of -3.8…

A: Let raw score is X. Then Z Score is given by, Z= (X- mu)/sigma Where mu is mean And sigma is…

Q: find the 95% confidence interval to estimate the proportion of CCC g.Are we confident that the…

A: here given, Suppose that we survey a random sample of 100 adults living in Contra Costa County and…

Q: An article included a summary of findings regarding the use of SAT I scores, SAT II scores, and high…

A: Coefficient of determination defines the variation in the response variable explained by the…

Q: The researcher found that the model’s effect size was very large where r = .426. Furthermore, r2 =…

A: Given, r = .426 r2 = .182 How much of the variance can be explained by the linear combination of…

Q: A group of 20 college students participated in a study to examine the effects of a new study…

A: The objective of this question is to determine whether there is a significant difference in the exam…

Q: Suppose you are interested in studying regional differences in crime rates. You take a random…

A: Given that; South n = 100 X1 = 55 ?1 2 = 5.78 North n = 100 X2 = 50 ?2 2 = 6.72 By using two sample…

Q: The systolic blood pressure of individuals is thought to be related to both age and weight. Let the…

A: Given:

Q: A company provides maintenance service for water-filtration systems throughout southern Florida.…

A: Note: Since you have posted question with multiple subparts ,we are answering first three subparts…

Q: The accounting department analyzes the variance of the weekly unit costs reported by two production…

A: See the handwritten solution

Question

In the 5 models above, which variable, by itself, explains the greatest proportion of total variance in Y? What is this proportion of variance explained by this predictor alone?

Regression formula
Intercept P
Predictor P
Y = 105.055 + 0.4306 * X1
0.0496
<0.0001
Y = 949.90 - 0.06169 * X2
<0.0001
0.3974
Y = 58.286 + 13.7604 * X3
0.7657
<0.0001
Y = -105.755 + 24.736 * X4
0.8140
0.0204
Y = 182.828 + 0.600* X5
0.1569
<0.0001

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Similar questions

Which of the following will help to mitigate confounding? A. Multiple regression modelB. RandomizationC. StratificationD. All of the above
The formula for total variance (SST) is
Suppose that 67% of college students in Australia use more than 1.65 gigabytes of data ontheir mobile phone per month. If the monthly mobile data usage by college students isnormally distributed with variance of 2.25, what will be the average mobile data usage?a. 0.66 b. 0.99 c. 2.31 d. 2.64
How to Reconstruct the Variance step by step?
Use the following information to answer the question. A researcher wants to study different messaging platforms by collecting data on 40 individuals. Half of the individuals only use iMessage while the other half only use What's App. For the individuals who only used iMessage, they sent an average of 280 messages with a sample variance of 170 in the past week. For the individuals who only used What's App, they sent an average of 295 messages with a sample variance of 182 in the past week. Determine if there is a significant difference between the average messages sent between the two groups of individuals. Use a significance level of 1%. What is the alternative hypothesis? Group of answer choices A. The iMessage group on average sent more messages than the What's App group. B. There is a difference in the average number of messages sent between the two groups. C. The iMessage group on average sent less messages than the What's App group. D. There is no difference in the…
What does the square of the linear correlation coefficient measure (rxr)?
disp hp qsec wt Use the following visualization to answer questions 2 - 4. mpg drat drat mpg qsec wt hp disp -1 -0.8 -0.6-0.4 -0.20 0.2 0.4 0.6 0.8 1
Suppose a researcher wants to determine if the proportion of students who graduate college in four years is different between those attending public universities compared to those attending private universities. Which method should the researcher use? Chi-square Goodness of Fit test Two-proportions test One-proportions test Analysis of Variance Two-sample t-test
Students in one class are asked to complete the same questionnaire 3 times throughout the semester: at the beginning, at the midterm, and at the end. The purpose of the questionnaire is to track students' perception of their progress at different points in the semester. Scores at Time 1 (beginning of the semester), Time 2 (midterm), and Time 3 (end of semester) are compared against one another. What type of analysis of variance would be appropriate for examining the results from this dataset?
We are interested in determining whether or not the variances of the sales at two music stores (A and B) are equal. A sample of 16 days of sales at store A has a sample variance of 20 while a sample of 26 days of sales from store B has a sample variance of 30. The test statistic is
Suppose a sample of n = 160 observations has a mean of 13.6 and a variance of 6.8. If each value in the sample is multiplied by 4 and then 20 is added, what would be the variance of the new sample values?
An analysis of variance produces SSb = 40 and MSb = 20. In this analysis, how many treatment conditions are being compared?