a)
y^=intercept+slope*X
so, y^ = 5 - 0.1x
b)null hypothesis: ß = 0
c) t-ratio=estimated slope/SE = -0.1/0.15 = -0.666667
d) critical value
tα/2,df = t0.025,50= 2.00856
e)
| t-stat | < t-critical, so do not reject Ho
answer is NO
Problem 3 The USDA collects data on commodity prices and consumption. Use their data to explain...
Problem 3 The USDA collects data on commodity prices and consumption. Use their data to explain per-capita chicken consumption as a function of the price of chicken. (Note that economic theory suggests that an increase in a commodity price is generally associated with a decrease in demand.) 0per capita chicken consumption PCHICK consumer price index for chicken Collapse Al We estimated a linear regression model using annual data for 1950-2001 (N 52) Dependent variable: coeffidient std. error const PCHICK -0.1...
Problem 3 The USDA collects data on commodity prices and consumption. Use their data to explain per-capita chicken consumption as a function of the price of chicken. (Note that economic theory suggests that an increase in a commodity price is generally associated with a decrease in demand.) Q capita chicken consumption PCHICKconsumer price index for chicken We estimated a linear regression model usng annual data for 1950-2001 ( N = 52 ). Dependent variable: coefficient d. error const 0.05 R-squared:...
The USDA collects data on commodity prices and consumption. Use their data to explain per-capita chicken consumption as a function of the price of chicken. (Note that economic theory suggests that an increase in a commodity price is generally associated with a decrease in demand.) -per capita chicken consumption PCHICK consumer price index for chicken We estimated a linear regression model using annual data for 1950-2001 (N 52) Dependent variable: coefficient std. error const PCHICK -0.1 0.1 R-squared: 0.854880 a....
Problem 7 A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA. Students with higher High school GPA are expected to do better in college. colgpa Grade point average in college (Range 0.85-3.97) hsgpa High school GPA (Range 2.29-4.5) Model 1: OLS, N-427 Dependent variable: colgpa std. error 0.8 0.5 const hsgpa 0.1 R-squared: 0.854880 ,- a. (3%) write the equation for the least-squares regression line: b. (3%) The...
Problem 7 A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA. Students with higher High school GPA are expected to do better in college colgpa Grade point average in college (Range 0.85 3.97) hsgpa High school GPA (Range 2.29-4.5) Model 1: OLS, N -427 Dependent variable: colgpa coefficient 0.9 0.4 std. error const hsgpa 0.15 R-squared: 0.854880 a. (3%) Write the equation for the least-squares regression line: y-...
Problem 7 A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA. Students with higher High colgpa-: Grade point average in college (Range 085-397 ) hsgpa High school GPA (Range 2.29-4.5) school GPA are expected to do better in college. Model 1: OLS, N 427 Dependent variable: colgpa coefficient 0.9 0.4 std. error const hsgpa 0.15 R-squared: 0.854880 a. (3%) Write the ea ation for the least-squares regression line:...
A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA. school GPA are expected to do better in college. Students with higher High colgpa-Grade point average in college (Range 0.85 -3.97) hsgpaHigh school GPA (Range 2.29-4.5) Model 1: OLS, N-427 Dependent variable: colgpa coefficient std. error const hsgpa 0.5 0.15 R-squared: 0.854880 a. (3%) Write the equation for the least-squares regression line: y- b. (396) The null hypothesis is:...
Problem 7 A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA Students with higher High school GPA are expected to do better in college. colgpa = Grade point average in college (Range 0.85 -3.97) hsgpa = High school GPA (Range 2.29 -4.5) Expand Model 1: OLS, N=427 Dependent variable: colgpa coefficient std. error const 0.8 hsgpa 0.6 0.1 R-squared: 0.854880 a. Write the equation for the least squares...
Problem.2. Because of economic crisis Darth Vader ordered Data Analysis department of the Empire Inc. to analyze the price factors of Star Fighters of different modifications. Data (N=74 obs) on the ion-fuel-economy (mpi), length, weight of carried laser arm (kg), Twin Ion Engine displacement (cubic cm) and Engine origin ( For Empire Inc., variable Foreign =0) were used to find out how the estimate of the price (SM) of Fighters depends on fuel economy. The results are following: reg price...
Use the following regression output from R studio and answer the following questions. 1. Comment on the relation between the two test marks. A. There appears to be no linear relation between the two test marks B. There appears to be strong negative linear relation between the two test marks. C. There appears to be weak positive linear relation between the two test marks. D. There appears to be strong positive linear relation between the two test marks. 2. If the linear...