Log oddsGrade 874 33 Computer science If amy is a computer s

Log odds(Grade)= 87.4 +3.3 Computer science, If amy is a computer science major what is are 95% predictive interval for her final grade.

what are the assumptions of homoscedasticity in mutiple regression

An odds ratio is statistically significant whenever its 95% confidence interval include?

The 95% confidence interval for log odds ratio is (-.343, 0.573) is the odd ratio statistically significant at %5 level

If the Ln(odds) of an event is greater than o, then the probability of the event is greater than 0.5 is true or false.

Solution

Multiple linear regression analysis makes several key assumptions:

Multiple linear regression needs at least 3 variables of metric (ratio or interval) scale. A rule of thumb for the sample size is that regression analysis requires at least 20 cases per independent variable in the analysis, in the simplest case of having just two independent variables that requires n > 40. G*Power can also be used to calculate a more exact, appropriate sample size.

The assumption of homoscedasticity (literally, same variance) is central to linear regression models. Homoscedasticity describes a situation in which the error term (that is, the “noise” or random disturbance in the relationship between the independent variables and the dependent variable) is the same across all values of the independent variables. Heteroscedasticity (the violation of homoscedasticity) is present when the size of the error term differs across values of an independent variable. The impact of violating the assumption of homoscedasticity is a matter of degree, increasing as heteroscedasticity increases.