Complete parts (a) through (h) for the data below.40505860547080Questiony624633(e) Graph the least-squares regression line on the scatter diagram. Choose the correct graph below.O A.OB.Ay100-OC.Av90-OD.Ay100-Ay9004309030-10030(f) Compute the sum of the squared residuals for the line found in part (b).(Round to three decimal places as needed.)(g) Compute the sum of the squared residuals for the least-squares regression line found in part (d)Click to select your answer(s).O Type here to search7:31 PM3/12/2021PanasonicTOUGHBOOKCF-54OFFCDSS-4852769MO T0APauseBreaF12PrtScScrollNumLockF9F10F11F8lolF6F7SysRq LockF2F3F4F58F1Esc*Backspace%5@708 81 A12 A2RTYUQW15Tab11K12G13D+ II44#3 Complete parts (a) through (h) for the data below.4050X.60547080Questioy625846330-3030-10030(f) Compute the sum of the squared residuals for the line found in part (b).(Round to three decimal places as needed.)(g) Compute the sum of the squared residuals for the least-squares regression line found in part (d).(Round to three decimal places as needed.)(h) Comment on the fit of the line found in part (b) versus the least-squares regression line found in part (d).The line in partV passes through the most points. The line in partthe sum of the squared residuals, thus being the best-fitting line.Click to select your answer().Help on using the双多国情イ密国图』7:31 PMeA 40 3/12/2021Type here to searchTOUGHBOCPanasonic CF-54COSS-4852ScrollLockF12PrtScF10F11NumF7F8F9F6bysksF3F4F5F2F1区]Esc*#38 B!1 A12 A23.161151WE4%24

Due to the honor-code, we are only supposed to answer 3 sub-parts, and that you haven't specified…

Complete parts (a) through (h) for the data below. 40 50 60 70 80 62 58 54 46 33 (e) Graph the least-squares regression line on the scatter diagram, Choose the correct graph below. O A. OB. OC. OD. Ay 90- Ay 100어- 90 100- 0+ 30 30 90 0- 30 100 (f) Compute the sum of the squared residuals for the line found in part (b). (Round to three decimal places as needed.) (g) Compute the sum of the squared residuals for the least-squares regression line found in part (d).

Complete parts (a) through (h) for the data below. 40 50 60 70 80 62 58 54 46 33 (e) Graph the least-squares regression line on the scatter diagram, Choose the correct graph below. O A. OB. OC. OD. Ay 90- Ay 100어- 90 100- 0+ 30 30 90 0- 30 100 (f) Compute the sum of the squared residuals for the line found in part (b). (Round to three decimal places as needed.) (g) Compute the sum of the squared residuals for the least-squares regression line found in part (d).

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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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

Complete parts (a) through (h) for the data below.
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(f) Compute the sum of the squared residuals for the line found in part (b).
(Round to three decimal places as needed.)
(g) Compute the sum of the squared residuals for the least-squares regression line found in part (d).
(Round to three decimal places as needed.)
(h) Comment on the fit of the line found in part (b) versus the least-squares regression line found in part (d).
The line in part
V passes through the most points. The line in part
the sum of the squared residuals, thus being the best-fitting line.
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