Question
Inflation vs. Honda vs. Camry Data set Inflation 2018 2019 2020 2021 2022 Last 30 days 9.06% 9.06% 9.06% 9.06% 9.06% Last 90 days 8.58%
Inflation vs. Honda vs. Camry
Data set
Inflation | 2018 | 2019 | 2020 | 2021 | 2022 |
Last 30 days | 9.06% | 9.06% | 9.06% | 9.06% | 9.06% |
Last 90 days | 8.58% | 8.58% | 8.58% | 8.58% | 8.58% |
Year-over-year | 9.10% | 9.10% | 9.10% | 9.10% | 9.10% |
Honda Accord | 2018 | 2019 | 2020 | 2021 | 2022 |
Avg Price | $27,236 | $28,818 | $30,878 | $34,242 | $36,297 |
Last 30 days | -0.20% | -0.12% | -0.23% | -0.61% | -0.98% |
Last 90 days | 1.08% | 2.45% | 2.41% | 2.28% | 1.74% |
Year-over-year | 9.41% | 9.98% | 10.07% | 9.68% | 0.00% |
Toyota Camry | 2018 | 2019 | 2020 | 2021 | 2022 |
Avg Price | $25,352 | $27,445 | $29,011 | $31,959 | $36,321 |
Last 30 days | -0.28% | -0.06% | -0.36% | -1.28% | -0.57% |
Last 90 days | 1.11% | 1.98% | 0.90% | -0.92% | 2.68% |
Year-over-year | 7.04% | 7.59% | 8.58% | 4.38% | 0.00% |
Use the Data Analysis Toolpak to run a simple linear regression. Explain whether the slope estimate is statistically significant using the p-value. Interpret the R-Square value. Choose one other value from the output table to interpret (not the p-value or R-Square.
Use your categorical variable and original independent variable to do a interaction variable. Now add this interaction variable to the multiple regression you ran in the last part. Explain which regression model is the "best" using the Adjusted R-Square.
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