In: Statistics and Probability
Engineers concerned about a tower's stability have done extensive studies of its increasing tilt. Measurements of the lean of the tower over time provide much useful information. The following table gives measurements for the years 1975 to 1987. The variable "lean" represents the difference between where a point on the tower would be if the tower were straight and where it actually is. The data are coded as tenths of a millimeter in excess of 2.9 meters, so that the 1975 lean, which was 2.9643 meters, appears in the table as 643. Only the last two digits of the year were entered into the computer.
Year | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Lean | 643 | 646 | 657 | 669 | 674 | 690 | 698 | 700 | 715 | 718 | 726 | 744 |
758 |
What is the equation of the least-squares line? Round answers to three decimal places
y = ____________ + _____________ x
What percent of the variation in lean is explained by this line? Round your answer to one decimal place
Give a 99% confidence interval for the average rate of change (tenths of a millimeter per year) of the lean. Round your answers to two decimal places
( ________, ____________)
Here we have data:
Year | Lean |
75 | 643 |
76 | 646 |
77 | 657 |
78 | 669 |
79 | 674 |
80 | 690 |
81 | 698 |
82 | 700 |
83 | 715 |
84 | 718 |
85 | 726 |
86 | 744 |
87 | 758 |
Here we are using Excel for calculation:
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.9938 | |||||||
R Square | 0.9876 | |||||||
Adjusted R Square | 0.9865 | |||||||
Standard Error | 4.2475 | |||||||
Observations | 13 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 15785.8516 | 15785.8516 | 874.9765 | 7.77174E-12 | |||
Residual | 11 | 198.4560 | 18.0415 | |||||
Total | 12 | 15984.3077 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 99.0% | Upper 99.0% | |
Intercept | -59.137 | 25.5298 | -2.3164 | 0.0408 | -115.3282 | -2.9466 | -138.43 | 20.15 |
X Variable 1 | 9.313 | 0.3148 | 29.5800 | 0.0000 | 8.6202 | 10.0062 | 8.34 | 10.29 |
Equation of the least square line:
Y = -59.137 + 9.313X
99% Confidence interval
(-138.43, 20.15