Question

In: Statistics and Probability

As introduced in the book, linear regression could be useful for which of the following scenarios?...

As introduced in the book, linear regression could be useful for which of the following scenarios?

a-Each observation in the data consists of a single, qualitative variable.

b-Each observation in the data consists of two values, one for each of two nominal variables.

c-Each observation in the data comes with two values, one for each of two quantitative variables.

d-Each observation in the data consists of a single, quantitative variable.

Solutions

Expert Solution

option A is incorrect because we know that the linear regression is used only for the quantitative data, but not for the qualititaive data, so it is incorrect option.

option B is incorrect because we know that the linear regression is not used for the nominal data values, it can be used only for numerical values.

option C is the correct because each observation in the data with two values, one for each of two quantitative variables, i.e. one value for the dependent variable and other for the independent variable.

so, option C is correct answer

option D is incorrect because each observation in the data consists of two values, but not a single value.


Related Solutions

7.) Which of the following is a method by which a transgene could be introduced into...
7.) Which of the following is a method by which a transgene could be introduced into the tissue of an adult patient? A) Liposomal agents. B) Replication deficient adeno-associated virus (AAV). C) Modified stem cells. D) Answers A and B are correct. E) All of the above are correct.
Which of the following is the complete definition of the simple linear regression model?
Which of the following is the complete definition of the simple linear regression model?
what are the assumption of classical linear regression model? Are these assumption useful for identifying characteristics...
what are the assumption of classical linear regression model? Are these assumption useful for identifying characteristics of OLS
why is linear regression analysis the most useful concept/method in a manufacturing environment?
why is linear regression analysis the most useful concept/method in a manufacturing environment?
explain how linear regression could be used in business decision making?
explain how linear regression could be used in business decision making?
5. Under the Classical Linear Regression model assumptions, which one of the following is not a...
5. Under the Classical Linear Regression model assumptions, which one of the following is not a required assumption about the error term ui? * a. There is no multicollinearity in the model b. The variance of the error term is the same for all values of x. c. The values of the error term are independent. d. The error term is normally distributed. 6 If you find a positive value of the correlation coefficient it implies that the slope of...
With regard to regression models, which of the following statements is correct? i) Linear restrictions on...
With regard to regression models, which of the following statements is correct? i) Linear restrictions on regression parameters cannot be tested using an F-test. ii) The general-to-specific approach (also called “top-down”) starts with a model containing all explanatory variables. Subsequently, the least significant variables are dropped one by one until all of the variables remaining in the model are statistically significant. iii) Multicollinearity in a regression results in high t-statistics for individualexplanatory variables and a failure of the F-test to...
This is all the information given Which of the following scenarios could prevent a short-day plant...
This is all the information given Which of the following scenarios could prevent a short-day plant from flowering? flashes of red light during the day flashes of red light during the night flashes of far-red light during the night a shorter period of daylight . a longer period of darkness. An S2 pollen grain lands on the stigma of a plant with the genotype S1S2. This species has a gametophytic self-incompatibility system. Which of the following events will occur? RNAse...
Which of the following variable does the normality assumption concern about in a simple linear regression...
Which of the following variable does the normality assumption concern about in a simple linear regression model? response varaible, the predictor, the residual or none are correct.
Which of the following is a common Cause-and-Effect Forecasting Model?             Multiple Regression             Linear Trend...
Which of the following is a common Cause-and-Effect Forecasting Model?             Multiple Regression             Linear Trend Forecast             Moving Average Forecast             Mean Absolute Deviation The impact of poor communication and inaccurate forecasts resonates along the supply chain and results in the…?             Carbonaro effect             Delphi effect             Bullwhip effect             Doppler effect Which of the following is not a New Product forecasting approach?             Time series forecast             Analog/looks like forecast             Judgement forecast with expert opinion            ...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT