# data[].attributes.headline
Erica Hedges, Annaleyse Pollock, Alexis Devenney, Jasmine Cash

# data[].attributes.subject
Erica Hedges, Annaleyse Pollock, Alexis Devenney, Jasmine Cash

# data[].attributes.body
y= .13 (1600) + 179.36
y= 387.36

# data[].attributes.body
The correlation to the line is strong because r is in between 0.8 and 1

# data[].attributes.body
y=.13(200) + 179.36
y= 205.36
x=200

y=.13(400) + 179.36
y= 231.36
x=400

# data[].attributes.body
For every increase of 1 in x there is an increase of 0.13 in y.

# data[].attributes.headline
Scatter Plot Regression Line with Equation and R^2 

# data[].attributes.subject
Scatter Plot Regression Line with Equation and R^2 

# data[].attributes.headline
Scatter Plot Regression Line with Equation 

# data[].attributes.subject
Scatter Plot Regression Line with Equation 

# data[].attributes.body
Only four of the data values match up with distance to price of ticket. It still is linear because the graph still looks like a line.