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##### A multiple regression model has more than one dependent variable at least 2 dependent variables

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Question 3;A multiple regression model has;more than one dependent variable;at least 2 dependent variables;only one independent variable;more than one independent variable;Question 4;A regression analysis between sales (y in \$1000) and advertising (x in dollars) resulted in the;following equation;= 50,000 + 6x;The above equation implies that an;increase of \$6 in advertising is associated with an increase of \$6,000 in sales;increase of \$1 in advertising is associated with an increase of \$6 in sales;increase of \$1 in advertising is associated with an increase of \$56,000 in sales;increase of \$1 in advertising is associated with an increase of \$6,000 in sales;Question 6;A regression analysis between demand (y in 1000 units) and price (x in dollars) resulted in the;following equation;= 9 3x;The above equation implies that if the price is increased by \$1, the demand is expected to;increase by 6 units;decrease by 3 units;decrease by 6,000 units;decrease by 3,000 units;Question 9;In a multiple regression problem involving two independent variables, if b1 is computed to be;+2.0, it means that;the relationship between X1 and Y is significant.;the estimated value of Y increases by an average of 2 units for each increase of 1 unit of;X1, without regard to X2.;the estimated value of Y increases by an average of 2 units for each increase of 1 unit of;X1, holding X2 constant.;the estimated average value of Y is 2 when X1 equals zero.;Question 14;Assume a firm is currently employing 20 units of capital and 100 units of labor in its production;process. Assume also that the marginal product of the 20th unit of capital is 40 units of output;the marginal product of the 100th unit of labor is 10 units of output and the per unit prices of;capital and labor are \$20 and \$10, respectively. In this case, in order to minimize its costs of;production the firm should;hire more capital and more labor.;hire less capital and less labor.;hire more capital and less labor.;hire more labor and less capital.;Question 15;In a simple regression analysis (where y is a dependent and x an independent variable), if the y;intercept is positive, then;there is a positive correlation between x and y;there is a negative correlation between x and y;if x is increased, y must also increase;None of these answers is correct.;Question 16;Larger values of r2;imply that the observations are more closely grouped about the;average value of the independent variables;average value of the dependent variable;least squares line;origin;Question 19;If the coefficient of correlation is a positive value, then the slope of the regression line;must also be positive;can be either negative or positive;can be zero;None of these answers is correct.

Paper#18297 | Written in 18-Jul-2015

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