Answer:
Here's what I get.
Step-by-step explanation:
1. Representation of data
I used Excel to create a scatterplot of the data, draw the line of best fit, and print the regression equation.
2. Line of best fit
(a) Variables
I chose arm span as the dependent variable (y-axis) and height as the independent variable (x-axis).
It seems to me that arm span depends on your height rather than the other way around.
(b) Regression equation
The calculation is easy but tedious, so I asked Excel to do it.
For the equation y = ax + b, the formulas are

This gave the regression equation:
y = 1.0595x - 4.1524
(c) Interpretation
The line shows how arm span depends on height.
The slope of the line says that arm span increases about 6 % faster than height.
The y-intercept is -4. If your height is zero, your arm length is -4 in (both are impossible).
(d) Residuals

The residuals appear to be evenly distributed above and below the predicted values.
A graph of all the residuals confirms this observation.
The equation usually predicts arm span to within 4 in.
(e) Predictions
(i) Height of person with 66 in arm span

(ii) Arm span of 74 in tall person

Answer:
2
Step-by-step explanation:
Use the intercept method. Where is y when x = 0?
Answer:8
Step-by-step explanation:
Simplify the radical.
Given:
m∠ABC = 118°
m∠DAC = (9x - 33)°
m∠CAB = (2x + 7)°
To find:
The value of x.
Solution:
Sum of the adjacent angles in a parallelogram = 180°
m∠ABC + m∠CAB + m∠DAC = 180°
118° + 9x° - 33° + 2x° + 7° = 180°
92° + 11x° = 180°
Subtract 92° from both sides.
92° + 11x° - 92° = 180° - 92°
11x° = 88°
Divide by 11° on both sides.
x = 8
The value of x is 8.