How does a bivariate regression model differ from a multiple regression model?

Multiple Choice

A bivariate regression has only one dependent and independent variable but a multiple regression has more than one dependent variable and may have many independent variables.

A bivariate regression has more than one dependent variable and only one independent variable where a multiple regression has one dependent variable and may have many independent variables.

A bivariate regression has only one dependent and many independent variables but a multiple regression has one dependent variable, but may have many independent variables.

A bivariate regression has only one dependent and independent variable but a multiple regression has one dependent variable and may have many independent variables.

SUMMARY OUTPUT Y=UNITS SOLD X=PRICE Regression Statistics Multiple R 0.874493978 R Square 0.764739718 Adjusted R Square 0.756026374 Standard Error 159.2178137 Observations 29 ANOVA SS MS F Significance F Regression 1 2224908.261 2224908.261 87.76650338 5.64792E-10 Residual 27 684458.4291 25350.31219 Total 28 2909366.69 Coefficients Standard Error t Stat P-value Lower 95% Intercept -306.9514925 112 5165538 -2.728056293 0.011064093 -537.8163911 Price ($) 109.0373134 11 63886804 9.368377842 5.64792E-10 85.15632881Y=UNITS SOLD X1=PRICE X2=TIME SUMMARY OUTPUT Regression Statistics Multiple R 0.973747634 R Square 0.948184454 Adjusted R Square 0.944198643 Standard Error 76.145211 Observations 29 ANOVA cdf SS MS F Significance F Regression 2 2758616.268 1379308.134 237.8899573 1.9408E-17 Residual 26 150750.4221 5798.093159 Total 28 2909366.69 Coefficients Standard Error t Stat P-value Lower 95% Intercept 383.0749853 89 82328776 4.264762456 0.000233722 198.440573 Price ($) -44. 15063402 16.9091306 -2 611052872 0.014788103 -78.90784976 Week 49.25648719 5.133979988 9.594210984 4.9873E-10 38.70344019