Chapter 11: Q2E (page 649)
Give the slope and y-intercept for each of the lines graphed in Exercise 11.1.
Short Answer
- Slope = 1, y-intercept = 0
- Slope = -1, y-intercept = 3
- Slope = 1/5, y-intercept = 6/5
- Slope = 9/8, y-intercept = 15/4
Chapter 11: Q2E (page 649)
Give the slope and y-intercept for each of the lines graphed in Exercise 11.1.
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Get started for freePermeability of sandstone during weathering.Natural stone, such as sandstone, is a popular building construction material. An experiment was carried out to better understand the decay properties of sandstone when exposed to the weather (Geographical Analysis,Vol. 42, 2010). Blocks of sandstone were cut into 300 equal-sized slices and the slices randomly divided into three groups of 100 slices each. Slices in Group A were not exposed to any type of weathering; slices in Group B were repeatedly sprayed with a 10% salt solution (to simulate wetting by driven rain) under temperate conditions; and slices in Group C were soaked in a 10% salt solution and then dried (to simulate blocks of sandstone exposed during a wet winter and dried during a hot summer). All sandstone slices were then tested for permeability, measured in milliDarcies (mD). These permeability values measure pressure decay as a function of time. The data for the study (simulated) are saved in the STONEfile. Measures of central tendency for the permeability measurements of each sandstone group are displayed in the accompanying Minitab printout.
Descriptive Statistics: PermA, PermB, PermC | |||||
Variable | N | Mean | Median | Mode | N for Mode |
PermA | 100 | 73.62 | 70.45 | 59.9, 60, 60.1, 60.4 | 2 |
PermB | 100 | 128.54 | 139.30 | 146.4, 146.6, 147.9, 148.3 | 3 |
PermC | 100 | 83.07 | 78.65 | 70.9 | 3 |
The data contain atleast 5 mode value. Only the smallest 4 are shown |
a.Interpret the mean and median of the permeability measurements for Group A sandstone slices.
b.Interpret the mean and median of the permeability measurements for Group B sandstone slices.
c.Interpret the mean and median of the permeability measurements for Group C sandstone slices.
d.Interpret the mode of the permeability measurements for Group C sandstone slices.
e.The lower the permeability value, the slower the pressure decay in the sandstone over time. Which type of weathering (type B or type C) appears to result in faster decay?
Refer to Exercise 11.14 (p. 653). Calculate SSE and s for the least-squares line. Use the value of s to determine where most of the errors of prediction lie.
State Math SAT scores. Refer to the simple linear regression relating y = 2014 Math SAT scores to x = 2010 Math SAT scores, Exercise 11.19 (p. 654). A portion of the SPSS printout of the analysis is shown below.
a. Locate the values of SSE, , and s on the SPSS printout.
b. Give a practical interpretation of the value of s.
Voltage sags and swells. The power quality of a transformer is measured by the quality of the voltage. Two causes of poor power quality are "sags" and "swells." A sag is an unusual dip and a swell is an unusual increase in the voltage level of a transformer. The power quality of transformers built in Turkey was investigated in Electrical Engineering (Vol. 95, 2013). For a sample of 103 transformers built for heavy industry, the mean number of sags per week was 353 and the mean number of swells per week was 184. Assume the standard deviation of the sag distribution is 30 sags per week and the standard deviation of the swell distribution is 25 swells per week.
a. For a sag distribution with any shape, what proportion of transformers will have between 263 and 443 sags per week? Which rule did you apply and why?
b. For a sag distribution that is mound-shaped and symmetric, what proportion of transformers will have between 263 and 443 sags per week? Which rule did you apply and why?
c. For a swell distribution with any shape, what proportion of transformers will have between 109 and 259 swells per week? Which rule did you apply and why?
d. For a swell distribution that is mound-shaped and symmetric, what proportion of transformers will have between 109 and 259 swells per week? Which rule did you apply and why?
If a straight-line probabilistic relationship relates the mean E(y) to an independent variable x, does it imply that every value of the variable y will always fall exactly on the line of means? Why or why not?
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