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ETC1000 - Business and economic statistics - S2 2025

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This question is based around annual CO2

emissions for countries around the world over many years. Of particular

interest is how CO

2

per capita (millions of tonnes) and GDP per

capita ($) are related to each other. To investigate this, we construct a

scatter plot between these two variables using data from 2016 (shown below).

Image failed to load: CO2 per capita vs GDP per capita

Referring to the scatter plot, it was

decided that the country with CO

2

per capita of 29.2 and GDP per

capita of 24,000 is an outlier, so the correlation was recalculated without

this country.

The new correlation will be:

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50%
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Estimate a simple linear regression model of Happiness on Income. That is, estimate the model

If my income rises by $1000, how much does the model predict that my happiness will rise? (Report to 4 decimal places)

View this question

This question is based around annual CO2

emissions for countries around the world over many years. Of particular

interest is how CO

2

per capita (millions of tonnes) and GDP per

capita ($) are related to each other. To investigate this, we construct a

scatter plot between these two variables using data from 2016 (shown below).

Image failed to load: CO2 per capita vs GDP per capita

Referring to the scatter plot, it was

decided that the country with CO

2

per capita of 29.2 and GDP per

capita of 24,000 is an outlier, so the correlation was recalculated without

this country.

The new correlation will be:

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Has the model overestimated or underestimated the number of cases per million in Australia?
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How many cases per million is Australia estimated to have according to the model?

(Report to the nearest integer value)
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What is the interpretation of the coefficient on Hospital Beds per thousand?
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100%
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Notice how small the coefficient of Population is compared to the other coefficients. One researcher claims this means the population size of a country is not as important as other variables in explaining why COVID-19 cases per million differs across countries. Is this logic correct or incorrect?
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Compare two countries with the same GDP per capita, population, and number of hospital beds per thousand, but one country has 10% of the population aged 65 or older, and the other has 20%. How many more cases per million is predicted by the model for the country with 20% of the population aged 65 or older?

(Report to the nearest integer value)
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Does it make sense to interpret the intercept in this model?
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Compare two countries with the same GDP per capita, population, and number of hospital beds per thousand, but one country has 1% more of their population aged 65 or older compared to the other country. How many more cases per million is predicted by the model for the country with the higher proportion of the population aged 65 or older?

(Report to the nearest integer value)
View this question

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