Calculate the equation of the LSRL. Round the slope & y-intercept to 2 decimal places. B . What is the meaning of the slope (use context) C . Write the correlation coefficient for this data

Q: Compute r, the correlaton coeffcient, USma the follout data X. 434

A: The correlation coefficient r is computed using the formula below: r=n∑xy×-∑x∑yn∑x2-∑x2×n∑y2-∑y2…

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A: Correlation: The relation ship (or) an associationbetween two or more variables is known as…

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A: We have given that  Correlation=r=0.7 Find coefficient of determination

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A: We have given that,  The data set are :- X :- 47, 35, 21, 27, 39, 48, 61, 65, 70 Y:- 34, 169, 248,…

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Q: The ages​ (in years) of 10 men and their systolic blood pressures​ (in millimeters of​ mercury) are…

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Q: 5. Application a) Create a scatter plot of time spent watching television versus number of books…

A: Answer:5

Q: The variable ris known as the linear correlation coefficient. Summarize what the rvalue tells you…

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Q: 5. Use the data set to answer the following: {(0,2), (2,5), (-8,19)} a. Find the coefficient of…

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Q: pprophate 2. If appropriate, calculate the correlation coefficient and interpret it. 3. Complete a 6…

A: Given cost age 25 3 35 5 55 7 50 9 75 11 85 14 n=6

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Q: Plot (A) Plot (B) Plot (C) [Choose ] r = 1.1 r = -0.85 r = 0.53 r = -0.38 r = 0.06 r = 0.97

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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.