Least squares line, quadratic regression equation, and natural log. regression equation. Please help

We never did any of this in class and I can't find anything on Google about how to do it...

A study was conducted to compare the average time spent in the lab each week versus course grade for
computer students. The results are recorded in the table below. Use the equation of the least squares line to
predict the grade of a student who spends 17 hours in the lab.
Number of hours spent in lab (x) | Grade (percent) (y)
10 | 96
11 | 51
16 | 62
9 | 58
7 | 89
15 | 81
16 | 46
10 | 51
Sorry if it's hard to read...

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The table shows the total stopping distance of a sport utility vehicle as a function of its speed. Use the quadratic
regression equation for the data to predict the average total stopping distance for a speed of 73 miles per hour.
Speed (mph) | Average total stopping distance (ft)
20 | 47
25 | 61.5
30 | 78.5
35 | 97
40 | 122
45 | 149
50 | 180
55 | 216.5
60 | 254
65 | 298.5
70 | 350
75 | 408
80 | 473
Again, sorry if it's hard to read.

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Estimate the y-value associated with x = 15 as predicted by the natural logarithmic regression equation for the
following data.
x | y
10 | 1.51
20 | 2.88
30 | 3.71
40 | 4.36

There's no math involved it's just calculator work.

Go to your graphing calculator:

STAT --> EDIT -->
In L1 type the x values and L2 the y values.

Then go to:
STAT --> CALC --> Click the regression you desire.

Sir Grid V.

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