Question

Why do we use parametric tests? a. Non-parametric tests are used when the assumption for normality cannot be met b. As an alternative to parametric tests if the LINE assumptions need to be validated. c. When explanatory variables are unknown. d. If the data is normally distributed but the linear regression fits the data poorly. QUESTION 2 What are the assumptions in linear regression? a. Linearity, Independence, Non-normality, Unequal variance b. Linearity, Independence, Normality, and Equal Variance c. Non-linear, non-normal, non-independence, non-equal variance d. Linearity, Non-independence, Normality, Equal Variance

          Why do we use parametric tests?

a. Non-parametric tests are used when the assumption for normality cannot be met
b. As an alternative to parametric tests if the LINE assumptions need to be validated.
c. When explanatory variables are unknown.
d. If the data is normally distributed but the linear regression fits the data poorly.

QUESTION 2

What are the assumptions in linear regression?

a. Linearity, Independence, Non-normality, Unequal variance
b. Linearity, Independence, Normality, and Equal Variance
c. Non-linear, non-normal, non-independence, non-equal variance
d. Linearity, Non-independence, Normality, Equal Variance

Why do we use parametric tests?

a. Non-parametric tests are used when the assumption for normality cannot be met
b. As an alternative to parametric tests if the LINE assumptions need to be validated.
c. When explanatory variables are unknown.
d. If the data is normally distributed but the linear regression fits the data poorly.

QUESTION 2

What are the assumptions in linear regression?

a. Linearity, Independence, Non-normality, Unequal variance
b. Linearity, Independence, Normality, and Equal Variance
c. Non-linear, non-normal, non-independence, non-equal variance
d. Linearity, Non-independence, Normality, Equal Variance

Added by Paul R.

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