The median-median line for a dataset is y = 1.133x + 0.731 the least-squares regression line for the same dataset is y = 1.068x + 0.731. which regression equation better predicts the y-value for the point (50, 60) ?

The median-median line is a better prediction.

Step-by-step explanation:

Both lines predict a value for x=50 that is less than 60. The median-median line value is closer to 60, so could be considered a better prediction.

0.84 dang lotta people are looking for this lol or if you round up its 1 but the overall answer to that is 0.84

step-by-step explanation:

the camry sales+accord sale=828,000. to make it so the two numbers are 18 thousand apart and still equal 828,000, you first need to find out what half of 828,000 is. 828,000/2=414,000. for the two numbers to equal 828,000, you have to add the same amount as you subtract from the middle. in this case, the number is 9,000 because it's half of 18,000. to equal 828,000, you have to add 9,000 to 414,000 for the camry and subtract 9,000 from 414,000 for the accord. 414,000+9,000=423,000.

414,000-9,000=405,000.

423,000+405,000=828,000.

423,000-405,000=18,

hope it