Answer:
A. The slope of the "trend line" or "line of best fit" indicates the relationship between the number of years worked and the hourly wage. The slope is positive and therefore there is a positive correlation between the two variables: years and hourly wage. One could infer that the number of years worked is the independent variable and the pay per hour is the dependent variable meaing that the number of years afect the hourly wage in a positive way. The y-intercept shows the minimum pay per hour when a person has no experience.
B. The y-intercept of the trend line or line of best fit represents the pay per hour when a person has no working experience. The y-intercept is given by the ordered pair (0, y). Where the x-axis represents the independent variable and the y-axis represents the dependent variable.
Step-by-step explanation:
A "trend line" or "line of best fit" is a line that is drawn and contains at least two points of the scatter plot to help one analyze if there is a trend or correlation between two variables.
The slope shows the inclination of that given line. If the slope is positive then there could be a positive correlation and if it's negative then there could be a negative correlation.
A positive or negative correlation reveals the relationship that exists between two variables. A positive correlation indicates that as one variable increases so does the other variable. In this case, as a person has more experience they tend to have a higher hourly wage.
The independent variable (x) is the variable that is changed or altered.
The dependent variable (y) is the variable that changes as a result of the changes in x.
The x-axis is the horizontal line of the scatter plot and often denotates the independent variable. (number of years)
The y-axis is the vertical line of the scatter plot and often denotates the dependent variable. (pay per hour)
The y-intercept is the pay per hour for a person that has no work experience.
