Chapter 1.02

First, a few thoughts on the text, page 23:
first paragraph: note that even for the same situation, we might use different models for different
purposes. For example, in predicting CO2 in the atmosphere, in the short term we would include a
seasonal term (once-per-year cycle) but for long-term predictions that's not so important.

second paragraph: this says "independent and dependent variables", which is certainly common terminology.
It's a bit dangerous though if you are thinking statistically, since if two variables are statistically
related, you can't call either of them "independent". 

page 25, middle of the page: "one possibility is the line that passes through the first and last data points."
While that is a commonly-thought-of possibility, it's usually not the best one. Note that a better procedure
is mentioned on the next page.

page 31, Trigonometric Functions: remember to switch your calculator to Radian mode for this class.
This is especially important if you're in a physics class at the same time as this class.

#1
#2
#3
#4

#6 after you sketch by hand, try typing y=1+m*(x+3) into desmos.com, then when it offers to make
a slider out of "m", do it, then slide the slider.
#7
#8 part (a)
#8 part (b): WEP
#9
#10
#11 WEP
#12
#13
#14
#15 optional
#16 WEP
#17
#18 WEP
#19
#20
#21
#22 optional
#23 optional

#25
#26 optional
#27 optional
#28 optional

QA: For each of these, say whether it is a polynomial or not; explain why.
i) 3x^(-2) + 5 x^(-1) + 19 x^0 + 57 x^1
ii) 3(x-2)^4 + 12(x-2)^3 + 17*(x-2) + -9
iii) (x-5)(x+7)(x-3)(x+0)(x-2)
iv) 2+((11x-4)*x+7)*x
v) 3x^1 + 5x^(1/2) + 7x^(1/3)
vi) 3^x + 5^x + 7^x
vii) 5e^(2x) + 9e^x + 7