The x values and standardized residuals for some data are displayed in the accompanying table. Construct a standardized residual plot.x 1.50 1.502.002,50 2.50 3.003.50 3.50 4.00e*0.31 1.03 -1.14 -1.22 0.24 0.74 -1.36 1.54 0.07standardizedstandardizedstandardizedstandardizedresidualsresidualsresidualsresiduals22F2111ofofoF-1-1-1-2-2-2-2-X1.52.02.53.03.54.01.52.02.53.03.54.01.52.02.53.03.54.01.52.02.53.03.54.0Comment on its appearance.O The pattern gives no cause for questioning the appropriateness of the linear regression model, though one observation appears unusual.O The pattern gives no cause for questioning the appropriateness of the linear regression model, and no observation appears unusual.O The quadratic pattern gives cause for questioning the appropriateness of the linear regression model, but no observation appears unusual.O The quadratic pattern gives cause for questioning the appropriateness of the linear regression model, and several observations appear unusual.O The pattern gives no cause for questioning the appropriateness of the linear regression model, though several observations appear unusual.

graph: As we can see the points of scatter plot is so scattered.

Answered: standardized standardized standardized…

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

Pearson correlation statistic is only valid when the relationship between the two quantitative (continuous) variables is
Several bakeries in a town were asked the price for different amounts of donuts at their shop. The scatter plot with Total Cost (in dollars) 876543 ~ TO 0 0 1 Donut Pricing 2 3 4 5 Number of Donuts 6 7 8 line of best fit was created from the data gathered. Part A: Estimate the correlation coefficient. Explain your reasoning for the given value. Part B: How many positive and negative residuals are there? Explain your reasoning. Part C: State the point with the largest absolute value residual and interpret the point in terms of the context of the data.
A method of estimating earth temperature based on local precipitation is to build models based on 100s of years of earth at several different constant green house gas level (So constant global temperature for 100s of years) , and compare the correlation of statistical relationships between predicted precipitation patterns in a region, and observed precipitation patterns for a region in a few year time period.
A multiple regression predicting tech salaries obtains an insignificant (zero) coefficient on age and a significantly negative coefficient on being foreign-born. A simple regression of tech salaries on age obtains a significantly positive coefficient on age. These results can be explained if Group of answer choices a) the simple regression coefficient is unbiased. b) foreign-born tech workers tend to be older than non-foreign-born. c) foreign-born tech workers tend to be younger than non-foreign-born. d) age is unrelated to being foreign-born.
What are the predictive errors that will occur in regression line?
In multiple regression analysis, residuals (Y- ) should be Multiple Choice ) qualitative variables correlated significantly different from zero normally distributed with a mean of zero
How can Spearman's Rank Correlation or Spearman's Product Moment Correlation Coefficient be applied to a real-life problem?

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

standardized standardized standardized standardized residuals residuals residuals residuals 1 of 아 아 -1 -2