Given the least squares regression line, Y: 8+ X, what can be said about the relationship between Y and X? a. the relationship between X and Y is negative b- whether the relationship is positive or negative depends on the value of X. c. the relationship between X and Y is positive d.there is no relationship between X and Y e. Cannot be determined. Suppose that in a regression analysis, the explanatory variable X 1 represents whether or not an individual is a male or female, and the explanatory variable X 2 represents temperature. Which statement is the most accurate given this information? a. Both X 1 and X 2. should be represented by a dummy variable in the regression. O b- The variable X 2 should be represented as a dummy variable. C- X 1 and X 2. should be written as an interaction term in the regression. d- The variable X 1 should be represented as a dummy variable. e. There is no relationship between the variables X 1 and X 2. In linear regression, we t the least squares line to a set of values (or points on a scatterplot). The distance from the line to a point is called the: a. tted value 0 b. residual value c. correlation d. covariance e. None of these options In regression analysis, the variable we are trying to explain or predict is called the , and the variables used for the prediction are called the a. statistical variable b. independent variable c. regression variable d. dependent variable. independent variables. e. residual variable The coefficients for logarithmically transformed explanatory variables when the dependent variable is also logarithmically transformed should be interpreted as the percent change in the dependent variable for a 1% percent change in the explanatory variable. O True FalseThe components of a time series include: ' a. base series b. trend c. seasonal component d. cyclic component 0 e. all of these options