A restaurant owner wants to see if there is a relationship between the amount of sugar in several of the food items on her menu and the number of orders of those menu items. She creates a scatter plot showing the relationship between amount of sugar in a menu item and the number of orders for that item on the menu. The correlation coefficient for the line of best fit is 0.58. a. Are they correlated?
b. Do either of the variables cause the other to change?
I did not understand this at all...

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

Including 6% sales tax, an inn charges $135.68 per night. find the inns nightly cost

Which of the following vectors are orthogonal to (2,1)? check all that apply