He what type of correlation exists between the
temperature and the number of fruitbars sold?
what is the real-world meaning of the slope of the line
of best fit for the given scenario?
there are approximately more fruit bars sold for
every degree(s) the temperature rises. need asap 45 points up for grab

Positive; more fruit bars are sold as the temperature rises;

Two bars for every 1 °F  

Step-by-step explanation:

I plotted a scatter chart in Excel and asked it to draw the regression line and include the equation for the line of best fit

The graph has a positive slope, so a positive correlation exists between the temperature and the number of fruit bars sold.

The real-world meaning of the positive slope of the line of best fit is that more fruit bars are sold as the temperature rises.

The equation for the line of best fit is

y = 2.1855x - 101.02

There are approximately two more fruit bars sold for every 1 °F the temperature rises.

r(0,90)(x,y) . t(-5,0)

last option

step-by-step explanation:

∆def to ∆d"e"f"

- rotate 90 counterclockwise degrees

- then translated 5 to the left (x --> x - 5)

answer is the last option