Question
In: Statistics and Probability
An architect wants to determine the relationship between the heights (in feet) of a building and...
An architect wants to determine the relationship between the heights (in feet) of a building and the number of stories in the building. The data for a sample of 10 buildings are shown.
Stories (x) 64 54 40 31 45 38 42 41 37 40
Height (y) 841 725 635 616 615 582 535 520 511 485
Is there a significant linear correlation between the two variables ? Use α = .05
What would be the best predicted Height of a building with 44 Stories ? Round your answer to one decimal place (i.e. one digit to the right of the decimal point)
Solutions
orchestra answered 1 year agoRelated Solutions
A simple linear least squares regression of the heights (in feet) of a building on the...
A simple linear least squares regression of the heights (in
feet) of a building on the number of stories in the building was
performed using a random sample of 30 buildings. The associated
ANOVA F statistic was 5.60. What is the P-value
associated with this ANOVA F test?
a.) greater than 0.10
b.) between 0.001 and 0.01
c.) between 0.01 and 0.025
d.) between 0.05 and 0.10
e.) between 0.025 and 0.05
f.) less than 0.001
A researcher is trying to determine the relationship between heights and weights of individuals. Which of...
A researcher is trying to determine the relationship between
heights and weights of individuals. Which of the following
statistical tools would be most appropriate to aid in this
study?
none of the other answers are correct
a box plot
the least-squares regression line
a joint frequency table
a pie chart
A researcher wants to determine if there is a linear relationship between height and weight. The...
A researcher wants to determine if there is a linear
relationship between height and weight. The following table
represents the data collected. Display the data in a scatter plot
on your calculator, draw a quick sketch below. Then find the linear
regression and put the line of best fit on the sketch. Then state
the value for the correlation coefficient and determine if this is
a positive correlation or no correlation using the table in the
back of the book....
An environmentalist wants to determine the relationship between the number of fires, in thousands, and the...
An environmentalist wants to determine the relationship between
the number of fires, in thousands, and the number of acres burned,
in hundreds of thousands. Based on this data, decide if the
correlation is significant at alpha = 0.05. Number of fires x 73 74
58 48 80 65 54 49 Number of acres burned y 64 46 22 23 51 12 29
10
5. When x = 61 what is
y and what does it mean I this context.
6....
An environmentalist wants to determine the relationship between the number of fires in thousands, and the...
An environmentalist wants to determine the relationship between
the number of fires in thousands, and the number of acres burned in
hundreds of thousands. Based on the data, decide in the correlation
is significant at alpha = 0.05.
Number of fires (x) - 73 | 74 | 58 | 48 | 80 | 65 | 54 | 49
Number of acres burned (y) - 64 | 46 | 22 | 23 | 51 | 12 | 29 |
10
Determine...
An environmentalist wants to determine the relationship between the number of fires in thousands, and the...
An environmentalist wants to determine the
relationship between the number of fires in thousands, and the
number of acres burned in hundreds of thousands. Based on the data,
decide in the correlation is significant at alpha = 0.05.
Number of fires (x) - 73 | 74 | 58 | 48 | 80 | 65 | 54
| 49
Number of acres burned (y) - 64 | 46 | 22 | 23 | 51 |
12 | 29 | 10
Find...
A regional transit company wants to determine whether there is a relationship between the age of...
A regional transit company wants to determine whether there is a
relationship between the age of a bus and the annual maintenance
cost. A sample of 10 buses resulted in the following data:
Age of Bus (years)
Annual Maintenance Cost ($)
1
350
2
370
2
480
2
520
2
590
3
550
4
750
4
800
5
790
5
950
Instructions:
Input the data into an SPSS work sheet making sure that all
your variables are labelled appropriately
Create...
A researcher wants to determine the relationship between the typing speed of administrative assistants at a...
A researcher wants to determine the relationship between the
typing speed of administrative assistants at a major university is
related to the time that it takes for the admin assistant to learn
to use a new software program and may be used to predict learning
time. Data are gathered from 12 departments at the university.
Dept Typing speed (words per minute) Learning time (hours)
A 48 7
B 74 4
C 52 8
D 79 3.5
E 83 2
F...
A researcher wants to determine whether there is a relationship between age and mode of shopping....
A researcher wants to determine whether there is a relationship
between age and mode of shopping. In a random sample of 18- to
21-year-olds, 140 of 185 people shopped online more often than in
stores. In a random sample of 40- to 43-year-olds, 90 of 155 shops
online more often than in stores. What is the margin of error for a
95% confidence interval for the difference between the proportions
of shoppers in these age groups who shop online more...
A regional transit company wants to determine whether there is a relationship between the age of...
A regional transit company wants to determine whether there is a
relationship between the age of a bus and the annual maintenance
cost. A sample of 10 buses resulted in the following data:
Age of Bus (years)
Annual Maintenance Cost ($)
1
350
2
370
2
480
2
520
2
590
3
550
4
750
4
800
5
790
5
950
Instructions:
Input the data into an SPSS work sheet making sure that all
your variables are labelled appropriately
Create...
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