2. Section 9.2
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Point: (2,12.45)
x | y |
---|---|
2.5 | 9.4 |
4.5 | 6.1 |
6.5 | 2.8 |
Examining the line of best fit, we notice that it has a negative slope and a correlation coefficient close to - 1. This tells us the association is strong. Also, an r-value of - 0.903 corresponds to an R-squared of (- 0.903)^2≈ 0.815. This means about 81.5 % of the high temperature the next day is explained by the high temperature on the previous day.
The slope is - 1.65, which means the volume of the gas decreases on average by 1.65 liters for every atmosphere the pressure increases.
x | 13.51-1.65x | y |
---|---|---|
2.5 | 13.51-1.65( 2.5) | 9.4 |
4.5 | 13.51-1.65( 4.5) | 6.1 |
6.5 | 13.51-1.65( 6.5) | 2.8 |