In: Statistics and Probability
Find the mean and standard deviation of the times and icicle lengths for the data on run 8903 in data data447.dat. Find the correlation between the two variables. Use these five numbers to find the equation of the regression line for predicting length from time. Use the same five numbers to find the equation of the regression line for predicting the time an icicle has been growing from its length. (Round your answers to three decimal places.)
times x =
times s =
lengths x =
lengths s =
r =
time = + length =
length = + time=
time length 10 1.3 20 1.2 30 3.6 40 4.7 50 8 60 8.5 70 10.2 80 11.4 90 12.8 100 17.8 110 19.1 120 19.3 130 20.7 140 21.8 150 25.3 160 26.8 170 27.9 180 29.4
Following table shows the calculations:
time,X | length,Y | (X-mean)^2 | (Y-mean)^2 | (X-mean)(Y-mean) | |
10 | 1.3 | 7225 | 187.4161 | 1163.65 | |
20 | 1.2 | 5625 | 190.1641 | 1034.25 | |
30 | 3.6 | 4225 | 129.7321 | 740.35 | |
40 | 4.7 | 3025 | 105.8841 | 565.95 | |
50 | 8 | 2025 | 48.8601 | 314.55 | |
60 | 8.5 | 1225 | 42.1201 | 227.15 | |
70 | 10.2 | 625 | 22.9441 | 119.75 | |
80 | 11.4 | 225 | 12.8881 | 53.85 | |
90 | 12.8 | 25 | 4.7961 | 10.95 | |
100 | 17.8 | 25 | 7.8961 | 14.05 | |
110 | 19.1 | 225 | 16.8921 | 61.65 | |
120 | 19.3 | 625 | 18.5761 | 107.75 | |
130 | 20.7 | 1225 | 32.6041 | 199.85 | |
140 | 21.8 | 2025 | 46.3761 | 306.45 | |
150 | 25.3 | 3025 | 106.2961 | 567.05 | |
160 | 26.8 | 4225 | 139.4761 | 767.65 | |
170 | 27.9 | 5625 | 166.6681 | 968.25 | |
180 | 29.4 | 7225 | 207.6481 | 1224.85 | |
Total | 1710 | 269.8 | 48450 | 1487.2378 | 8448 |
Sample size: n= 18
Mean:
Standard deviation:
The co-variance of the data:
The correlation coefficient is
The equation of the regression line for predicting length (y) from time (x) is:
Slope of the regression equation is
Y intercept of equation is
Equation of regression line is
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The equation of the regression line for predicting time (x) from length (y) is:
Slope of the regression equation is
X intercept of equation is
Equation of regression line is