Which of the following is true if the estimating equation has to be a perfect estimator of the dependent variable?______________

Related MCQs

• What will be the range of r when we find that the dependent variable increases as the independent variable increases?__________
• In regression analysis, if the independent variable is measured in kilograms, the dependent variable ______
• In regression, the equation that describes how the response variable (y) is related to the explanatory variable (x) is___________
• Perfect correlation is one Perfect correlation is one in which_________
• The relationship between number of beers consumed (x) and blood alcohol content (y) was studied in 16 male college students by using least squares regression. The following regression equation was obtained from this study: != -0.0127 + 0.0180x The above equation implies that__________
• Regression analysis was applied to return rates of sparrowhawk colonies. Regression analysis was used to study the relationship between return rate (x: % of birds that return to the colony in a given year) and immigration rate (y: % of new adults that join the colony per year). The following regression equation was obtained) ! = 31.9 – 0.34x Based on the above estimated regression equation, if the return rate were to decrease by 10% the rate of immigration to the colony would________________
• A regression analysis between sales (in $1000) and price (in dollars) resulted in the following equation: ! = 50,000 - 8X The above equation implies that an ________
• When the correlation coefficient between x and y is positive, then as variable x decreases, variable y Remains the same________
• If the correlation coefficient is 0.8, the percentage of variation in the response variable explained by the variation in the explanatory variable is____________
• The data are the same as for question 4 above. The relationship between number of beers consumed (x) and blood alcohol content (y) was studied in 16 male college students by using least squares regression. The following regression equation was obtained from this study: != -0.0127 + 0.0180x Suppose that the legal limit to drive is a blood alcohol content of 0.08. If Ricky consumed 5 beers the model would predict that he would be____________