Use least-squares regression to fit a straight line to: x = 0, 2, 4, 6, 9, 11, 12, 15, 17, 19 y = 5, 6, 7, 6, 9, 8, 8, 10, 12, 12 along with the slope and intercept of the straight line, compute the sum of the squares of the residuals, the standard error of the estimate, and the correlation coefficient. plot the data and the regression line. then, for a given value of x (which may not be among the samples), predict the value of y using the linear regression.

i think it would be 43 movies that would have to be watched.

step-by-step explanation:

think about it. for the second plan, every month is 8 dollars. 8 x 12= 96. so thats the number for the second plan. now for the first plan, its annual meaning you have to pay 10 dollars every year. so now you have to get an equivalent amount of 86 since 96-10=86. 86 divided by 2 since every movie costs 2$ then you would have to watch 43 movies a year to get the same as the second plan. i really hoped this . have a wonderful day as well!

pakistan's principal natural resources are arable land and water. about 25% of pakistan's agriculture accounts for about 21% [1] of gdp and employs about 43% of the labour force. in pakistan, the most agricultural province is punjab where wheat and cotton are the most grown.

the height of the surface increases from the center out to the sides of the road

it is c!

i'm a sophomore in connections, i'd recommend checking on jishka.com they have a large range of questions and answers from our school.