Copy of MATH 1130 Data & Tech Part 2 of 2 HW
.pdf
keyboard_arrow_up
School
University of Nebraska, Omaha *
*We aren’t endorsed by this school
Course
1130
Subject
Geography
Date
Jan 9, 2024
Type
Pages
5
Uploaded by PrivateInternet12725
3.
Create a
Scatter Plot
and the Quick Layout to add details.
Problem A:
Coral
1. Which column is the measure
for the
Explanatory Variable
?
Temperature
2. Which column is the measure
for the
Response Variable
?
Coral Growth
y = mx + b -0.3255x + 12.317
5. What is the correlation between the two variables?
9. What is the predicted Coral Growth at 30°C?
2.46186
Scientists are concerned that rising sea temperatures will have an adverse effect on coral growth. A small
study on this issue produced the data in the table to the left:
-0.8825968
6.
Is the Correlation positive or negative?
8.
Should you use this data to make predictions? Explain
Yes with the data presented you can
began to make predictions
4. What is the Equation of the
Regression line
?
Negative
7.
Is the Correlation Strong, Moderate or Weak
Moderate
2.2
2.25
2.3
2.35
2.4
2.45
2.5
2.55
2.6
2.65
29.6
29.8
30
30.2
30.4
30.6
30.8
31
Coral growth
Temperatures
Coral
3.
Create a
Scatter Plot
and the Quick Layout to add details.
8.
Should you use this data to make predictions? Explain
9. What is the predicted Mercury Concentration for a fish 420 mm in
length?
0.6
The presence of mercury in fish is a health hazard, particularly for women who may
become pregnant and children. The table contains data on mercury concentration in tissue
samples from 20 largemouth bass taken from Lake Natoma (California). Only fish of
legal/edible size were used in this study.
Yes the correclation is strong predictions can be made
Problem B: Fish
7.
Is the Correlation Strong, Moderate or Weak
Strong
5. What is the correlation between the two variables?
0.852426168
6.
Is the Correlation positive or negative?
positive
4. What is the Equation of the
Regression line
?
y ^ = 0.00323 x − 0.737
1. Which column is the measure
for the
Explanatory Variable
?
Fish Length
2. Which column is the measure
for the
Response Variable
?
Mercury Concentration
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0
100
200
300
400
500
600
Concentration
Length
Fish Mercury Concentration
3.
Create a
Scatter Plot
and the Quick Layout to add details.
4. What is the Equation of the
Regression line
?
5. What is the correlation between the two variables?
6.
Is the Correlation positive or negative?
9.
What is the predicted Radar Rain Rate at 200 K?
97.04
Satellites are one of the many tools used for predicting flash floods, heavy rainfall, and large amounts of snow.
Geostationary (GEOS) satellites collect data on cloud top brightness temperatures (measured in degrees
Kelvin). It turns out that colder cloud temperatures are associated with higher and thicker clouds, which in
turn are associated with heavier precipitation.
Because ground radar can be limited by location and
obstructions, having an alternative for predicting the rainfall rates can be useful.
8.
Should you use this data to make predictions? Explain
yes, there is a strong realtionship
y=-9.5603x+2009.1
-0.948575587
Negative
strong
7.
Is the Correlation Strong, Moderate or Weak
Problem C: Rain
Temperature
Rainfall rate
1. Which column is the measure
for the
Explanatory Variable
?
2. Which column is the measure
for the
Response Variable
?
0
20
40
60
80
100
120
140
160
194
196
198
200
202
204
206
208
210
212
Radar rain rate
Temperature
Rain water rate and temperature
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help