In a study between the amount of rainfall (X)and the quantityof air pollution (Y) removed, the following datawere collected:X4.34.55.95.66.15.23.82.17.5Y126121116118114118132141108 The regression model tells us if it does not rain for the given day there is no amount removed in the air.TrueFalse

The regression model for this above data, Y=153.1755-6.32399*X if it doesn't rain a given day, X=0…

Answered: The regression model tells us if it…

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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We estimate the following regression model to predict wage of employees in a firm. Exp is years of experience, male is a dummy variable that equals 1 if the employee is male. wage %3D Bo + Biехp + Bzmale + Bgexp x таle If the true relationship between the variables are as the following plot suggests, what do you expect the signs (positive or negative) of B1, B2, and B3 to be? Explain. wage male=1 male=0 experience
The linear regression equation for predicting systolic blood pressure from age is as follows: y = 54 +3.6x. Find the residual for a person who is 25 years of age with a systolic blood pressure of 148. Hint: Make sure you are subtracting in the correct direction.
in the equation of a linear regression, Y = b,X + bo, if b, = -6.8 which means a. For each unit increase in x, y will decrease by 6.8. b. For each unit increase in x, average of y will increase by 6.8 c. For each unit increase in x, average of y will decrease by 6.8 d. For each unit increase in x, y will increase by 6.8
In simple linear regression: a. The size of the coefficient for each IV gives you the size of the effect that varilable has on the DV. b. The sign of the coefficient gives you the direction of the effect. c. With a single IV, the coefficient tells you how much the DV is expected to increase or decrease when the IV increased by one unit. d. All of the above.
An engineer creates a model to predict the electric consumption of a household in summer in a day with a predictor variable of the number of hours the air-conditioner is running. The electric consumption is only at 26 kWh per day if aircon is not used. If the aircon was used by 1 hr, the electric consumption would increase by an additional 1.44 kWh. Find the average electric consumption if the aircon is used 15 hrs.
You decide to add a second independent variable to your regression. Male is a dummy variable that equals 1 if the individual is male and 0 otherwise. Your regression results are now: wage = 3.071 + 0.289 × Years of Schooling + 1.28 × Male (0.143) (0.0168) (0.624) Interpret the coefficients from this regression. Make sure to clearly indicate what is changing and what is constant in each interpretation. Determine whether each coefficient is statistically significant at each of the conventional significance levels. The R2 for this regression is 0.316. Interpret the meaning of this value.
The following table gives the average August temperature (y) and geographic latitude (x) for 20 cities in the United States. The following formula is the regression equation relating these two variables. y=113.6-1.01x (a) The latitude at the equator is 0. Using the regression equation, estimate the average August temperature at the equator.
The least squares regression equation is y=18.7841+0.5616x. If the systolic pressures of two patients differs by 8 mmHg, by how much would you predict their diastolic pressures to differ?

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