Need help with the below
Researcher estimates the following two econometric models
Yt= β1 + β2x2t + β3x3t +ut
Yt= β1 + β2x2t + β3x3t + β4x4t +vt
Ut and Vt are iid disturbances and x3t is an irrelevant variable which does not enter into the data generating process for Yt. Will the value of (a) R^2, (b) Adjusted R^2, be higher for the second model than the first? Explain your answers

Solution Preview

(a) The value of R^2 should be higher for the second model as an additional variable (4t) is added to the regression.
The value of R^2 would be identical for two econometric models only if the coefficient (β4) of the additional variable (4t) equals 0 (i.e. 4t is ...

Solution Summary

Explaining how adding a new independent variable will affect the value of R-Square and Adjusted R-Square

Find the square root. Assume that all of the variables represent positive real numbers.
1. The square root 25x^12
Find the cube root.
2. ^3 square root 512
Simplify the radical expressions. Assume that all variables represent positive real numbers.
3. the square root of 72 multiply the square root of 2
4. the square

Subject: best cost driver for overhead
Details: You are trying to determine whether machine hours or direct labor dollars would be the best cost driver for overhead costs. You run two regressions and obtain the following results:
Machine Hours:
Multiple R .39429
R Square .15547
Adjusted R Square .14964
Standard er

Compare two models. Model #1 has an r-squared of .55 and an adjustedr-squared of .50. Model #2 has an r-squared of .52 and an adjustedr-squared of .51. Given this information, what model should you use?
a) Use model 1 because r-squared is higher
b) Use model 2 because adjustedr-squared is higher
c) Use model 1 becau

How might you go about creating a stronger regression model? For example, you have a multiple regression model with an adjustedR-Square of 0.49, which would explain 49% of the variance of the dependent measure, and you would like to explain 70% of the variance of the dependent measure.

1) Given the following data and Excel output, what is the English meaning of the numbers?
Years of Education Annual Income (000's)
6 10
7 13
8 15
7 14
9 16
12 21
11 22
14 20
16 19
20 45
13 35
15 36
Regression Statistics
Multiple R 0.837129
R Square 0.700785
Adjusted R Square 0

I know that [Ni(CN)4]2- is diamagnetic and square planar in shape. [NiCl4]2- is paramagnetic and tetrahedral in shape.
Since these are two completely different complexes (I am assuming), why or what about their magnetic structures/properties is worth highlighting to show the differences between the two?

Use the properties of logarithms to rewrite each expression. Simplify the result if possible.
1. log2 ((2*square root 3)/5)
Given log10 (2) = 0.3010 and log10 (3) = 0.4771, find each logarithm without using a calculator.
2. log10 (20/27)