Find the mean and standard deviation of the times and icicle lengths for the dat
ID: 3201375 • Letter: F
Question
Find the mean and standard deviation of the times and icicle lengths for the data on run 8903 in data data181.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.)
Time is the first number followed by the length, you may need to put this in a chart to organize it.
time length 10 2 20 4.8 30 2.9 40 5.7 50 7.5 60 10 70 10.8 80 13.5 90 13.8 100 14.8 110 19.1 120 18.7 130 20.4 140 22.9 150 24.9 160 25.4 170 28.1 180 28.8
times x = ____ times s = ____ lengths x = ____ lengths s = ____ r = ____ time = ____ + ____ length length = ____ + ____ timeExplanation / Answer
1) Descriptive Statistics
N Sum Mean Std. Deviation
Times 18 1710.00 95.0000 53.38539
Lengths 18 274.10 15.2278 8.73773
Times of Mean (x-) = 95
Times of Stadard deviation (s) = 53.385
Lengths of Mean (x-) = 15.227
Lengths of Standard deviation (s) = 8.738
2) Correlations
Times Lengths
Times Pearson Correlation 1 .995**
Sig. (2-tailed) .000
N 18 18
Lengths Pearson Correlation .995** 1
Sig. (2-tailed) .000
N 18 18
The correlation coefficient between times and lengths is 0.995
3) Coefficients(a)
Unstandardized Coefficients Standardized Coefficients
Model B Std. Error Beta t Sig.
1 (Constant) 2.460 2.752 .894 .385
Lengths 6.077 .158 .995 38.505 .000
a. Dependent Variable: Times
the regression line of times on lengths is
time = 2.460 + 6.077 length
4) Coefficients(a)
Unstandardized Coefficients Standardized Coefficients
Model B Std. Error Beta t Sig.
1 (Constant) -.238 .458 -.520 .610
Times .163 .004 .995 38.505 .000
a. Dependent Variable: Lengths
the regression line of lengh on time is
length = -0.238 +0.163 time
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