After studying the milk yields of a randomly selected sample of 900 cows, researchers felt that the presence of white spots (WS) on a cow's body led to a different let milk production (MP). The researchers estimate the OLS regression: MP = 5.36 +0.12×WS,, (2.23) (1.04) where WS, is a binary variable of the form: 1, if the " cow has white spots WS, = 0, if the in cow doesn't have white spots The 95% confidence interval for the coefficient B, is (Round your answers to four decimal places.) V the hypothesis B, = 0 at the 5% significance level. Based on this interval, we will Which of the following statements describes the way in which the coefficient of the indicator variable could be interpreted in this case? O A. The coefficient is the rate of change in the milk production due to a unit change in the number of cows with white spots. O B. The coefficient of the indicator variable is the slope of the regression equation. O C. The coefficient is the difference between the population means of the milk production of cows with and without white spots. Click to select your answer(s).

After studying the milk yields of a randomly selected sample of 900 cows, researchers felt that the presence of white spots (WS) on a cow's body led to a different let milk production (MP). The researchers estimate the OLS regression: MP = 5.36 +0.12×WS,, (2.23) (1.04) where WS, is a binary variable of the form: 1, if the " cow has white spots WS, = 0, if the in cow doesn't have white spots The 95% confidence interval for the coefficient B, is (Round your answers to four decimal places.) V the hypothesis B, = 0 at the 5% significance level. Based on this interval, we will Which of the following statements describes the way in which the coefficient of the indicator variable could be interpreted in this case? O A. The coefficient is the rate of change in the milk production due to a unit change in the number of cows with white spots. O B. The coefficient of the indicator variable is the slope of the regression equation. O C. The coefficient is the difference between the population means of the milk production of cows with and without white spots. Click to select your answer(s).

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

After studying the milk yields of a randomly selected sample of 900 cows, researchers felt that the presence of white spots (WS,) on a cow's body led to a different level of
milk production (MP). The researchers estimate the OLS regression:
MP = 5.36 +0.12×WS,
(2.23) (104)
where WS, is a binary variable of the form:
th
1, if the
i cow has white spots
WS, =
th
0, if the i" cow doesn't have white spots
The 95% confidence interval for the coefficient B, is
(Round your answers to four decimal places.)
Based on this interval, we will
the hypothesis B, = 0 at the 5% significance level.
19
Which of the following statements describes the way in which the coefficient of the indicator variable could be interpreted in this case?
O A. The coefficient is the rate of change in the milk production due to a unit change in the number of cows with white spots.
B. The coefficient of the indicator variable is the slope of the regression equation
В.
O C. The coefficient is the difference between the population means of the milk production of cows with and without white spots.
Click to select your answer(s).
DOLL

MP = 5.36 +0.12×WS,
(2.23) (1.04)
where WS, is a binary variable of the form:
th
1, if the
WS, =
cow has white spots
0, if the " cow doesn't have white spots
The 95% confidence interval for the coefficient B, is ( ).
(Round your answers to four decimal places.)
Based on this interval, we will
the hypothesis B, = 0 at the 5% significance level.
Which of the following statements describes the way in which the coefficient of the indicator variable could be interpreted in this case?
O A. The coefficient is the rate of change in the milk production due to a unit change in the number of cows with white spots.
O B. The coefficient of the indicator variable is the slope of the regression equation.
O C. The coefficient is the difference between the population means of the milk production of cows with and without white spots.
O D. The coefficient is the sum of the conditional expectation of the presence of white spots on a cow with respect to the average milk production.
Click to select your answer(s).
W
DELL

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