In: Statistics and Probability
2. Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places).
Y = ____ x + _____
x | y |
---|---|
3 | 12.12 |
4 | 17.26 |
5 | 16.3 |
6 | 21.04 |
7 | 20.98 |
8 | 24.52 |
4. Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between X and Y.
x | y |
---|---|
2 | 9.28 |
3 | 11.32 |
4 | 11.66 |
5 | 9.3 |
6 | 9.94 |
7 | 8.98 |
8 | 10.02 |
9 | 12.66 |
10 | 11.2 |
11 | 10.94 |
12 | 13.18 |
13 | 11.62 |
14 | 11.46 |
15 | 13 |
16 | 13.84 |
17 | 13.28 |
r = ____
Question 2
X | Y | X * Y | |||
3 | 12.12 | 36.36 | 9 | 146.8944 | |
4 | 17.26 | 69.04 | 16 | 297.9076 | |
5 | 16.3 | 81.5 | 25 | 265.69 | |
6 | 21.04 | 126.24 | 36 | 442.6816 | |
7 | 20.98 | 146.86 | 49 | 440.1604 | |
8 | 24.52 | 196.16 | 64 | 601.2304 | |
Total | 33 | 112.22 | 656.16 | 199 | 2194.5644 |
Equation of regression line is
b = 2.23
a =( 112.22 - ( 2.2257 * 33 ) ) / 6
a = 6.46
Equation of regression line becomes
Question 4
X | Y | X * Y | |||
2 | 9.28 | 18.56 | 4 | 86.1184 | |
3 | 11.32 | 33.96 | 9 | 128.1424 | |
4 | 11.66 | 46.64 | 16 | 135.9556 | |
5 | 9.3 | 46.5 | 25 | 86.49 | |
6 | 9.94 | 59.64 | 36 | 98.8036 | |
7 | 8.98 | 62.86 | 49 | 80.6404 | |
8 | 10.02 | 80.16 | 64 | 100.4004 | |
9 | 12.66 | 113.94 | 81 | 160.2756 | |
10 | 11.2 | 112 | 100 | 125.44 | |
11 | 10.94 | 120.34 | 121 | 119.6836 | |
12 | 13.18 | 158.16 | 144 | 173.7124 | |
13 | 11.62 | 151.06 | 169 | 135.0244 | |
14 | 11.46 | 160.44 | 196 | 131.3316 | |
15 | 13 | 195 | 225 | 169 | |
16 | 13.84 | 221.44 | 256 | 191.5456 | |
17 | 13.28 | 225.76 | 289 | 176.3584 | |
Total | 152 | 181.68 | 1806.46 | 1784 | 2098.9224 |
r = 0.728