Answer:
A. See attachment 1.
B. See attachment 2.
C. As the number of years of experience increases, so does the hourly wage.
Step-by-step explanation:
Part A
When creating a scatter plot with bivariate data:
- The explanatory (independent) variable is drawn on the x-axis.
- The response (dependent) variable is drawn on the y-axis.
For the given data, the hourly wage is dependent on the number of years of experience. Therefore:
- Years of experience is the explanatory variable and so is drawn on the x-axis.
- Hourly wage is the response variable and so is drawn on the y-axis.
Draw the scatter plot
- Label the x-axis "Years of experience".
- Label the y-axis "Hourly wage (in dollars)".
- Use a scale of x : y = 1 : 2 since there are 14 squares along the y-axis, yet the greatest y-value is 15.
- Plot the data from given table.
(See attachment 1).
Part B
Draw a line of best fit on the scatter plot (see attachment 2).
Part C
Correlation measures how closely two variables are linked.
If two variables are correlated, you can draw a line of best fit on the scatter plot.
The line of best fit has a positive slope and is close to the data points.
Therefore, the scatter plot shows a strong positive correlation between the years of experience and the hourly wage.
This suggests that as the number of years of experience increases, so does the hourly wage.
