The equation of a line is the following: y = 2 + 0.28x1 + 43.8x2
What is the intercept of the line?
Is this equation a straight or curvilinear line, and why?
Is this the equation for a simple linear equation or a multiple linear equation?
What are the two regression coefficients?
If the statistical t-value for the second regression coefficient is 9.80, is the coefficient statistically valid at the 95% confidence level? Why or why not?
Is there a way to get the graph of this equation on excel?
The equation of a line is the following: y = 2 + 0.28x1 + 43.8x2
What is the intercept of the line?
Is this equation a straight or curvilinear line, and why?
Is this the equation for a simple linear equation or a multiple linear equation?
What are the two regression coefficients?
If the statistical t-value for the second regression coefficient is 9.80, is the coefficient statistically valid at the 95% confidence level? Why or why not?
Is there a way to get the graph of this equation on excel?
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Related questions
. Suppose Y is related to R and S in the following nonlinear way:
Y= aRáµSá¶
a. How can this nonlinear equation be transformed into a linear form that can ve analyzed using multiple regression analysis.
Sixty-three observations are used to obtain the following regression results:
DEPENDENT VARIABLE: LNY | R-SQUARE | F-RATIO | P-VALUE ON F | |
OBSERVATION: 63 | 0.8151 | 132.22 | 0.0001 | |
VARIABLE | PARAMETER ESTIMATE | STANDARD ERROR | T-RATIO | P-VALUE |
INTERCEPT | -1.386 | 0.83 | -1.67 | 0.1002 |
LNR | 0.452 | 0.175 | 2.58 | 0.0123 |
LNS | 0.30 | 0.098 | 3.06 | 0.0033 |
b. Test each estimated coefficient for statistical significance at the 5 percent level of significance. What are the exact significance levels for each of the estimated coefficients?
c. Test the overall equation for statistical significance at the 5 percent level of significance. Interpret the p-value of the F-statistic.
d. How well does this nonlinear model fit the data?
e. Using the estimated value of the intercept, compute an estimate of a.
f. If R = 200 and S = 1,500, compute the expected value of Y.
g. What is the estimated elasticity of R? Of S?