Im stressing out over these questions, can someone help me

Questions:

1) Perform the following analysis of the scatter plot (Lesson 8.1) as structured in the

TEMPLATE:

? Determine the strength of the correlation between the two variables by calculating the

correlation coefficient, rr, and then describe this correlation and its implications

(i.e. "so what?")

? Interpret the equation of the line of best-fit ("what do the slope and yy-intercept

mean?")

? Use the line of best-fit for either interpolation or extrapolation in order to make

predictions about your topic (and discuss validity of these predictions).

2. Explore the type of relationship (Lesson 8.2) between the two variables and justify your

reasoning convincingly with other references, where appropriate, as structured in the

TEMPLATE.

? E.g. Cause and effect, common cause, presumed, accidental, reverse cause and effect

Information given:

The purpose of this report is to represent the relationship between 10 randomly selected NHL teams winning percentage versus average goals per game. The focus of this research report is geared towards determining if the average goals scored per game would ensure a greater chance of winning.

Average Goals Per Game VS Winning Percentage WINNING PERCENTAGE 0.278*x + -0.235 RX = 0.603 0.B 0.6 0.4 WINNING PERCENTAGE 0.2 0,0 2.8 2.9 3.0 3.1 3.2 3.3 AVE. GOALS PER GAME