2. a) Now you want to know how various factors predict the number of alcoholic drinks typically consumed in one sitting or event (Num_Dri)particularly number of occasions in the past 30 days respondent consumed drugs (legal or illegal and excluding alcohol and tobacco) for recreational purposes (Occ_Dru). Create a one- tailed hypothesis using the DV number of alcoholic drinks typically consumed in one sitting or event (Num_Dri), the IV number of occasions in the past 30 days respondent consumed drugs (Occ_Dru), and the control variables income status of family of origin (Income) and academic goals (setting at least one academic goal during the fall academic term) (Aca_Goal). 1 b) Run a linear regression model using the variables listed above (no need to test assumptions). Present the results in a table, using asterisk to denote signicant predictors. 2 c) Report the results for the intercept, report results which address your hypothesis and for signicant predictors. Include theories for each significant predictor. Which variable is the strongest predictor of number of alcoholic drinks typically consumed in one sitting or event? 3