The data below shows the selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold. Construct a scatterplot, find the value of the linear correlation coefficientr, and find the P-value using a =0.05. Is there sufficient evidence to conclude that there is a linear correlation between the two variables? Selling Price (x) List Price (y) 303 379 390 405 433 435 458 479 316 351 420 333 414 316 485 475 323 370 434 341 What are the null and alternative hypotheses? O A. Ho p+0 O B. Ho p=0 H, p=0 H: p#0 OC. Ho p=0 H: p>0 OD. Ho p=0 H;: p<0 Construct a scatterplot. Choose the correct graph below. OA. OB. Oc. O D. 500- 500- Q Ay 500- 500- 00 400- 400- 400- 400- 300- 300 300- 300 300 300 300 300 400 500 400 500 400 500 400 500 The linear correlation coefficient r is

The data below shows the selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold. Construct a scatterplot, find the value of the linear correlation coefficientr, and find the P-value using a =0.05. Is there sufficient evidence to conclude that there is a linear correlation between the two variables? Selling Price (x) List Price (y) 303 379 390 405 433 435 458 479 316 351 420 333 414 316 485 475 323 370 434 341 What are the null and alternative hypotheses? O A. Ho p+0 O B. Ho p=0 H, p=0 H: p#0 OC. Ho p=0 H: p>0 OD. Ho p=0 H;: p<0 Construct a scatterplot. Choose the correct graph below. OA. OB. Oc. O D. 500- 500- Q Ay 500- 500- 00 400- 400- 400- 400- 300- 300 300- 300 300 300 300 300 400 500 400 500 400 500 400 500 The linear correlation coefficient r is

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

The test statistic t is
(Round to three decimal places as needed.)
The P-value is
(Round to three decimal places as needed.)
Because the P-value is
v than the significance level 0.05, there
sufficient evidence to support the claim that there is a linear correlation between selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold for a
significance level of a = 0.05.

The data below shows the selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to
conclude that there is a linear correlation between the two variables?
Selling Price (x)
List Price (y)
405
303
379
433
458
479
316
351
420
333
414
316
390
435
485
475
323
370
434
341
What are the null and alternative hypotheses?
Ο Α. H ρ#
H1:p= 0
О В. Но р30
H,: p+0
O C. Ho: p=0
O D. Ho: p=0
H1:p>0
H:p<0
Construct a scatterplot. Choose the correct graph below.
O A.
OB.
OC.
OD.
500-
Ay
500-
Ay
500-
Ay
500-
of
400-
400-
400-
400-
Lo
X
300-
300
300-
300
300
300
300
300
->
400
500
400
500
400
500
400
500
The linear correlation coefficient r is
(Round to three decimal places as needed.)

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