Scatter Plots Day 3 Line of Best Fit.notebook 9.1 -9...Scatter Plots Day 3 Line of Best Fit.notebook...
Transcript of Scatter Plots Day 3 Line of Best Fit.notebook 9.1 -9...Scatter Plots Day 3 Line of Best Fit.notebook...
Scatter Plots Day 3 Line of Best Fit.notebook March 12, 2018
8.SP.18.SP.2 8.SP.3
Day 3
Homework: WorksheetDo Now:Consider the following general strategies students use for drawing a line of best fit. Are they are good strategies? Explain.a) Laura draws her line using the first point (farthest to the left) and the last point (farthest to the right) in the scatter plot.
b) Phil makes sure there is same number of points above and below the line.
c) Sadie draws a line that has the most points right on it.
d) Marc draws his line as close to as many points as possible.
Time Playing (hours)
Sleep Time (hours)
The scatter plot shows the number of hours per week students spend playing a video game and the typical number of hours they sleep each night.
a. What trend do you notice in the data? Is it linear?
b. What was the fewest number of hours per week that a student who was surveyed played Fortnite? The most?
Scatter Plots Day 3 Line of Best Fit.notebook March 12, 2018
Time Playing (hours)
Sleep Time (hours)
d. Draw a line of best fit. Use the line to predict number of hours of sleep for someone who spends about 15 hours a week playing Fortnite.
c. What was the fewest number of hours per night that students who were surveyed typically slept?
The table shows the number of iPhones sold in millions per year. a. Create a scatter plot using the data. Describe the relationship.
b. Draw the line of best fit and find its equation.c. Predict how many iPhones will be sold in 2018.
YeariPhones (millions)
2010 2011 2012 2013 2014 2015 2016 2017
15 23 35 42 51 62 74 80
Scatter Plots Day 3 Line of Best Fit.notebook March 12, 2018
A math teacher asked her students how many hours of sleep they had the night before a test. The data below shows the number of hours the student slept and their score on the exam. Plot the data in a scatter plot. Then, describe the relationship.
b. Draw a line of best fit and find the equation of the line.
A scientist wanted to know if there is a relationship between the temperature of a city and its latitude. Create a scatter plot using the data. a. Describe the relationship.b. Try to draw your own line of best fit and find the equation of that line.c. Based on the line of best fit, predict the latitude of a location with an average temperature of 49 degrees.
Scatter Plots Day 3 Line of Best Fit.notebook March 12, 2018
The table shows data of arm span and height. Plot the data in the scatter plot. a. Describe the relationship. b. Draw your own line of best fit. Find the equation of the line you drew.c. Use the line of best fit to predict the height of someone with an arm span of 180 cm.
A scientist wanted to know if there is a relationship between the temperature of a city and its latitude. Create a scatter plot using the data. a. Describe the relationship.b. Try to draw your own line of best fit and find the equation of that line.c. Based on the line of best fit, predict the latitude of a location with an average temperature of 49 degrees.
Temperature
Latitude
40 45 50 55 60 65 70 75 80
4845423936333027
y = 6 x +46 15
Scatter Plots Day 3 Line of Best Fit.notebook March 12, 2018
The table shows data of arm span and height. Plot the data in the scatter plot. a. Describe the relationship. b. Draw your own line of best fit. Find the equation of the line you drew.c. Use the line of best fit to predict the height of someone with an arm span of 180 cm.
arm span (cm)
Height (cm
)
200
195
190
185
180
175
170
165
192
190
187
185
182
179
176
173
outlier
y = 3 x + 19610