Explore BrainMass
Share

Regression analysis using GNP case

This content was STOLEN from BrainMass.com - View the original, and get the already-completed solution here!

Examine relationship between GNP per capita and the percentage of respondents willing to pay more taxes.
a. Create a table using the data below for the GNP per capita and the percentage willing to pay higher taxes.
b. From the table that you created in (a), calculate a and b and write out the regression equation (i.e., prediction equation.
c. Calculate and interpret error type, E 2. ( ATTN:,not sure how to write E and small number 2)
d. Using your answer from c, calculate the PRE measure, r2. Interpret.
e. About what percentage of citizens are willing to pay higher taxes for a country with GNP per capita of 3.0 (i.e., $3,000)? For a GNP per capita of 30.0 (i.e., $ 30,000?
Country GNP Per Capita Percentage to Pay Higher Taxes
Canada 9.71 24.0
Chile 4.99 29.1
Finland 24.28 12.0
Ireland 18..71 34.3
Japan 32.35 37.2
Latvia 2.42 17.3
Mexico 3.84 34.7
Netherlands 24.78 51.9
New Zealand 14.60 31.1
Norway 43.31 22.8
Portugal 10.67 17.1
Russia 2.66 29.9
Spain 14.10 22,2
Sweden 25.58 19.5
Switzerland 39.98 33.5
United States 29.24 31.6

© BrainMass Inc. brainmass.com October 17, 2018, 12:09 pm ad1c9bdddf
https://brainmass.com/statistics/correlation-and-regression-analysis/regression-analysis-using-gnp-case-566998

Solution Summary

The solution gives detailed steps on performing a simple regression analysis including finding intercept, slope and pre-measure. All the formula and calculations are shown and explained.

$2.19
Similar Posting

Multiple regression model in SPSS.

Problem 1: In an earlier assignment, you estimated a simple t-test to ascertain if IMF lending programs in Latin America served to attract or deter foreign direct investment.

Of course, the principal problem with this result is that we really can't say much definitively because we don't control for alternative explanations. Using the following dataset (lat_am_cap_flows_example_MR.sav), run a multiple regression on FDI flows using the following independent variables: selected, lgnppc (per capita GNP), lgrowth (growth) and lgnpmd (GNP in millions of US dollars).

Interpret the intercept and all other coefficients, the model significance, and r-squared. Using these findings, what can we say substantively? Is it the case that IMF programs attract foreign direct investment or deter it? How much do IMF programs matter?

Problem 2: A recurring example in class has been the effects of trade on levels of government expenditure. Using the following dataset (govexpend_MR_example2.sav), compute a multiple regression of government expenditure using the following independent variables: gdpgrowth (growth rate), loggdppc (GDP per capita), pctpop65 (% of the population 65 or older), tradegdp (trade as a percentage of GDP) and election (a dummy variable for whether or not there was a national election during the year).

Interpret the intercept and all other coefficients, the model significance, and r-squared. Using these findings, what can we say substantively? How much does trade matter? Does this finding support the race to the bottom argument?

View Full Posting Details