Math, asked by anishadenis19, 1 day ago

Calculate the correlation between pairs (recommended below) of the following
variables and write interpretation for each correlation coefficient. (Note: For the
following pairs, correlation can be calculated using EXCEL.)

Answers

Answered by neelusingh1288
0

Answer:

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Step-by-step explanation:

Calculate the correlation coefficient. What does the correlation tell us? (Q3 - 2 points) (4) Find the equation of the least squares regression equation, and write out the equation. Add the regression line to the scatterplot you generated above. (Q4 - 4 points) (5) What is the estimate for ß1 beta_1 ? How can we interpret this value? What is the estimate for ß0 beta_0 ? What is the interpretation of this value? (Q5 - 4 points) (6) Calculate the ANOVA table and the table which gives the standard error of ß^ 1 (hat beta 1) . Formally test the hypothesis that beta_1 = 0 using either the F-test

Answered by Jasleen0599
0

The correlation between pairs (recommended below) of the following

variables and write interpretation for each correlation coefficient. (Note: For the following pairs, correlation can be calculated using EXCEL.)

  • Use the following formula in Excel to determine the correlation coefficient: =CORREL(array1,array2) array1: a variable-x array array2: a variable-y array Simply choose the cell range for both arrays 1 and 2 to insert. 1.
  • A scatterplot is the most effective graph to show the relationship between two quantitative variables. Because they examine potential correlations between variables, correlational investigations are a common type of research study.
  • The linear link between two variables is measured through correlation. Correlation determines the strength of the association by measuring and comparing the variance of each variable.
  • In Excel, correlation may be calculated in a number of ways. The easiest is to compare two data sets side by side using the correlation algorithm that is already included.
  • This is a practical method for determining the correlation between simply two data sets. What happens, though, if you want to build a correlation matrix using a variety of data sets? The Data Analysis plugin for Excel must be used to accomplish this. The plugin is located in the Analyze section of the Data tab.
  • Choose the returns table. As the columns in this example have titles, we want to check the box labelled "Labels in first row" to instruct Excel to treat these as titles. After that, you may decide whether to export to the same sheet or a new one.

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