24 The proportion of the variability in the dependent variable that is explaised

Question

24 The proportion of the variability in the dependent variable that is explaised by the estimated regression eq Residuals d The F valu e Coefficient of determinaticn 25 The degree of cormelation among indepeodent variables in a regression modl a malticollinearity b SSE s Confidence interval d Inmeracticn variable SSRSST 26 Regression is based on minimizing what? Sum of the square of errors b The interval of interval estimations e Square of the errors summed d Point estimates e None of the above 27 The marketing manager collected historical information on sales revenues and the associated marketing b hopes develop a regression showing the bene fits of increasing her marketing budget. The revenues is the e NA The answer is not in the list 28 The daily Google stock price for a year a Cross sectional data b Casegorical and quantitative data c Scatter data d Time series data e Random data 9 The total worker injuries of each company in the manufacturing sector for 2016. a Cross sectional data b Categorical and quantitative data e Scatter data d Time series data e Geometrie series data Which of the following is not present and is not predicted in a time series forecast model? Cycles b Trends Seasons Random operational variations None, they are all present Which of the following states the objective of time series analysis? To predict the values of a time series based on one or more variables? o use present values to examine what should have been ideal in the past o determine the cause and effect relationships of dependent variables with a time series and determine the extent which two random variables are related. uncover a pattern in time series and then extend that pattern into the future.

Explanation / Answer

Ans:

24)Cofficient of determination indicates the proportion of variability of the dependent variable perdicted by regression model.

25)Multicollinearity refres to the degree of correlation among independent variables in a regression model

26) It minimizes the sum of squared errors(option a is correct)

27)Revenue is the dependent variable and marketing budget is the independent variable.

28)Time series data

29)cross sectional data(Cross-sectional data, or a cross section of a study population, in statistics and econometrics is a type ofdata collected by observing many subjects (such as individuals, firms, countries, or regions) at the same point of time, or without regard to differences in time.)

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