Description
Should know about R studio
You will create a professional presentation. The instructions are designed to take you through
the steps to make a professional presentation with data and regression results. You may use
more than 10 slides if it is necessary for clarity, but you can have no more than 12. You will not
have to make a presentation.
Create the presentation in power point. Except perhaps in a table, do not use a font smaller than
24. You can choose a background, but do not make it distracting to the reader.
2. Your second slide should briefly describe the “steps question” that we have been
discussing this semester. It should include the regression equation in descriptive terms
(write out the variable names), and briefly explain the expected signs on the coefficient of
the variables (high, low, precip).
3. Your third slide should describe your data and the data source for the weather variables,
your steps; and include your summary statistics table.
4. Your fourth slide should present a ggpairs plot of steps, high, low, and precip. You
should include bullet points that indicate the key features of distribution and the scatter
plots/correlation coefficients.
5. Given your observations in the fourth slide, the fifth slide should address the problem
with including both high and low temperature.
6. Your sixth slide should contain a professional table of your regression results. Your table
should include results for regressions:
a. High temperature
b. Precipitation
c. Both high temperature and precipitation
d. High temp, precip, and day dummies
All regressions should include a constant. You should discuss (using bullet points) the
statistical significance of your results.
7. Your seventh slide should contain a “pretty” table of Breusch-Pagan and White’s full
heteroscedasticity test, and White’s test that conserves on degrees of freedom results.
Include a sentence or two motivating the use of these statistics and summarizing the
results of the tests. You will need to make this table in power point.
8. Your eighth slide should discuss the economic significance of your results.
9. Your ninth slide should report a table that is exactly likely your sixth slide except with
robust standard errors. You should omit the R2, F-stat, and notes from this slide.
10. Your tenth slide contains your conclusions:
a. Were the signs on the estimated coefficients what you expected?
b. Were the coefficient estimates statistically significant?
c. Were the coefficient estimates economically significant?
d. Does your regression possibly suffer endogeneity problem?
e. Does the weather affect your activity level?
