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Regression

Nonlinear Regression

Non­lin­ear regres­sion analy­sis is used when we know or sus­pect that there’s a non­lin­ear rela­tion­ship between the inde­pen­dent and depen­dent vari­ables. Learn how to cal­cu­late R‑squared, how to select an appro­pri­ate mod­el, and the steps for con­duct­ing a non­lin­ear regres­sion analysis.

Course Videos

1

What Is Regression Analysis?

05:59

 2

How to Perform a Correlation Study

06:04Members only

 3

Simple Linear Regression

07:47Members only

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Nonlinear Regression

05:06Members only

5

Next VideoMultiple Linear Regression

10:48Members only

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Next Video Multiple Linear Regression 

When our study involves more than one inde­pen­dent vari­able and we want to under­stand the impact of sev­er­al fac­tors on a sin­gle out­come, we can use mul­ti­ple lin­ear regres­sion. Learn how to cal­cu­late R‑squared, the impor­tance of collinear­i­ty or mul­ti­collinear­i­ty when work­ing with mul­ti­ple pre­dic­tors, and the steps for con­duct­ing a non­lin­ear regres­sion analysis.