Use the following table to answer the question & the sub part. 1a.What is the df for the t-test comparing total units earned in the row Students on Pell? i. df = 5854 + 1999 = 7853 ii. df = 5854 + 1999 - 2 = 7851 iii. df = 5854 - 1 = 5854 iv. df = 1999 - 1 = 1998 1b. True or False? In the row First-generation College Students, students not employed on campus had the higher standard deviation for time to degree (years).
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.
Use the following table to answer the question & the sub part.
1a.What is the df for the t-test comparing total units earned in the row Students on Pell?
i. df = 5854 + 1999 = 7853
ii. df = 5854 + 1999 - 2 = 7851
iii. df = 5854 - 1 = 5854
iv. df = 1999 - 1 = 1998
1b. True or False? In the row First-generation College Students, students not employed on campus had the higher standard
deviation for time to degree (years).
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