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
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.
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