2. Use the given information about sums of squares and sample size for a linear model to fill in all values in the analysis of variance for regression table below.SSModel=800 with SSTotal=5820 and a sample size of n=40.Round your answer for the p-value to four decimal places, and all other answers to two decimal places, if necessary. Source df SS MS F-statistic p-value Model Error Total
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.
2. Use the given information about sums of squares and
SSModel=800 with SSTotal=5820 and a sample size of n=40.
Round your answer for the p-value to four decimal places, and all other answers to two decimal places, if necessary.
| Source | df | SS | MS | F-statistic | p-value |
| Model | |||||
| Error | |||||
| Total |
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