Review the table of values showing the number of days each year from 1990 to 1997 that air quality in San
Diego did not meet federal air quality standards.
Which phrase best describes the regression model for
the data?
Years since 1989
Number of Days
power model; y = 41.217-0.86
O exponential model, y = 54.97(0.71)*
O logarithmic model; y = 39.14 – 17.93 In x
quadratic model; y = 0.60x2 - 10.38x + 46.73
1
39
2.
27
3
19
4
14
5
9
6
12
7
2
8
1

The minimum wage in washington has been increasing over the last ten years. years 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 washington state minimum wage $6.50 $6.72 $6.90 $7.01 $7.16 $7.35 $7.63 $7.93 $8.07 $8.55 $8.55 a) find the linear regression equation for the minimum wage in washington using this data ( x  0 in 2000). round to the thousandths. b) what is the slope? specifically, what does the slope represent in the real world context? c) what is the y-intercept? specifically, what does the y-intercept represent in the real world context? d) write your equation as a function of x. e) if you do not earn a college degree and you are earning minimum wage in 2020, what do you predict you will be earning per hour with the linear regression equation? f) if the trend continues, when will the minimum wage be $15 an hour? 3. why are your answers to #1d and #2a above different? which do you think is more accurate (#1 or #2) and why

Can someone factor this fully? my friend and i have two different answers and i would like to know if either of them is right. you in advance. a^2 - b^2 + 25 + 10a

Solve each equation using the quadratic formula. find the exact solutions. 6n^2 + 4n - 11