Exercise 17-27 Algo
Consider a binary response variable y and an
explanatory variable x that varies between 0 and 4. The
linear model is estimated as yˆy^ = −1.18 + 0.63x.
a. Compute the estimated probability for
x = 2 and x = 3. (Negative values should
be indicated by a minus sign. Round your answers to 2 decimal
places.)
b. For what values of x is the estimated
probability negative or greater than one? (Round your
answers to 2 decimal places.)
Exercise 17-27 Algo Consider a binary response variable y and an explanatory variable x that varies...
DO NOT ANSWER IF YOU ARE UNSKILLED IN THIS AREA! Consider a binary response variable y and an explanatory variable x that varies between 0 and 4. The linear model is estimated as yˆy^ = −1.19 + 0.53x. a. Compute the estimated probability for x = 2 and x = 3. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) Estimated probability x = 2 x = 3 b. For what values of...
Consider a linear regression model where y represents the response variable, x is a quantitative explanatory variable, and d is a dummy variable. The model is estimated as yˆy^ = 14.4 + 4.6x − 3.1d. a. Interpret the dummy variable coefficient. Intercept shifts down by 3.1 units as d changes from 0 to 1. Slope shifts down by 3.1 units as d changes from 0 to 1. Intercept shifts up by 3.1 units as d changes from 0 to 1. Slope shifts...
Consider a binary response variable y and two explanatory variables x1 and x2. The following table contains the parameter estimates of the linear probability model (LPM) and the logit model, with the associated p-values shown in parentheses. Variable LPM Logit Constant −0.60 −2.50 0.02 (0.03 ) x1 0.28 0.99 (0.06 ) (0.06 ) x2 −0.06 −0.30 (0.03 ) (0.06 ) a. At the 5% significance level, comment on the significance of the variables for both models. Variable LPM Logit x1...
Consider a linear regression model where y represents the response variable, x is a quantitative explanatory variable, and d is a dummy variable. The model is estimated as yˆy^ = 14.6 + 4.5x − 3.4d. a. Interpret the dummy variable coefficient. Intercept shifts down by 3.4 units as d changes from 0 to 1. Slope shifts down by 3.4 units as d changes from 0 to 1. Intercept shifts up by 3.4 units as d changes from 0 to 1. Slope shifts...
Consider a binary response variable y and two explanatory variables xy and x2. The following table contains the parameter estimates of the linear probability model (LPM) and the logit model, with the associated p-values shown in parentheses. Constant .40 -2.30 x1 x2 0.06 (0.03) 0.36 0.90 (0.03)(0.07) -0.03-0.10 (0.02) (0.01) a. At the 5% significance level, comment on the significance of the variables for both models. Logit gnificant 0 (Not significant x1 x2 b. What is the predicted probability implied...
Assighment Chapter 10 Saved Help Save &Exite Check my w Exercise 10-1 Algo Consider the following data drawn independently from normally distributed populations: (You may find it useful to reference the appropriate table: z table or t table) o12 -95.4 1 -29 .93.2 2 27 a. Construct the 95% confidence interval for the difference between the population means (Negative values should be indicated by a minus sign. Round all intermediate calculetions to at least 4 decimal places and final answers...
You have a set of data that you have labeled as x (explanatory) and y (response). You run summary statistics and get the following. Both variables are quantitative. Summary Statistics Column Mean Variance Std dev Std error Median Min Max 18 32.5 145.206 12.05 2.84 32.5 17 54 у 18 6.778 7.007 2.647 0.624 6.5 2 11 n Х Correlation between x and y is 0.555 What is the equation of the linear regression? Important: Round your value for the...
You have a set of data that you have labeled as x (explanatory) and y (response). You run summary statistics and get the following. Both variables are quantitative. Summary Statistics Column n Mean Variance Std dev Std error Median Min Max х 18 31.889 307.046 17.523 4.13 26 12 59 у 18 5.667 6.706 2.59 0.61 5.5 1 10 Correlation between x and y is 0.641 What is the equation of the linear regression? Important: Round your value for the...
According to the World Health Organization, obesity has reached epidemic proportions globally. While obesity has generally been linked with chronic disease and disability, researchers argue that it may also affect wages. Body Mass Index (BMI) is a widely used weight measure that also adjusts for height. A person is considered normal weight if BMI is between 18.5 to 25, overweight if BMI is between 25 to 30, and obese if BMI is over 30. The accompanying table shows a portion...
Can someone help me with the work either by hand or using R? Thanks! Consider a binary response variable y and an explanatory variable x. The following table contains the parameter estimates of the linear probability model (LPM) and the logit model, with the associated p-values shown in parentheses. Variable LPM Logit Constant −0.69 −6.30 (0.06) (0.06) x 0.06 0.21 (0.04) (0.06) a. Test for the significance of the intercept and the slope coefficients at the 5% level in both...