Answer:
y=.5x+-2.5
Step-by-step explanation:
This is the linear equation (y=mx+b) m means slope so your slope is .5.
Answer:
Step-by-step explanation:
5x = 2x + 9
3x = 9
x = 3
AB= 5(3)= 15
BC= 2(5) + 9= 10 + 9 = 19
AC= 15 + 19 = 34
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: 6/12
Step-by-step explanation:
You have a 50% percent chance of landing on the shaded area