Answer:
Explanation for what ion how to explain that
<h3>
Answer: Both plots have positive correlation (choice C)</h3>
For either graph, we see that as x increases, y generally increases as well. Both variables increase together. So this is why we have positive correlation. Put another way, the regression line has a positive slope.
If both x and y decreased together, then we'd have positive correlation as well. All that matters is x and y go the same direction together. In contrast, negative correlation is whenever x goes up but y goes down, or vice versa. Little to no linear correlation is whenever the points are either scattered randomly, or they fit a nonlinear pattern (eg: quadratic).
Answer:gweav
Vre
Step-by-step explanation: qerbgvwtqerasg
has PDF
and thus CDF
Because is continuous, we have
(side 1)² + (side 2)² = (diagonal)²
(9.5² + (14)² = (diagonal)²
90.25 + 196 = (diagonal)²
286.25 = (diagonal)²
√286.25 = √(diagonal)²
17 = diagonal
Answer: 17 inches