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Our fourth podcast episode talks about pros and cons of research. The hosts discuss simple linear regression and its importance in research. They explain the assumptions that need to be met in order to use this statistical method, including independence, normality, and equal variance. They also mention the information that simple linear regression can provide, such as P-value, 95% confidence interval, root mean squared error, and beta coefficients.
By American College of Podiatric MedicineOur fourth podcast episode talks about pros and cons of research. The hosts discuss simple linear regression and its importance in research. They explain the assumptions that need to be met in order to use this statistical method, including independence, normality, and equal variance. They also mention the information that simple linear regression can provide, such as P-value, 95% confidence interval, root mean squared error, and beta coefficients.