Also need to know, Is it possible the interpret the y intercept? Yeso, the x values must be positiveegative If two pumpkins differ in OTT by 7 inches, by how much would you predict their weighs to differ? Round the answer to three decimal places. Predict the weight of a pumpkin whose OTT is 480 inches. Round the answer to one decimal place.

Great Pumpkins: When growing giant pumpkins for competitions, growers need to keep track of the weights of the pumpkins while they are growing. It is difficult to weigh a large pumpkin before it is harvested, so a method has been developed for estimating the weight. The grower measures around the pumpkin both horizontally and vertically, then adds the results. This is called the OTT (over the top) measurement and is used to predict the weight of the pumpkin. Following are the OTT measurements and actual weights of the 10 largest pumpkins entered into official competitions in a recent year. OTT(inches) Weight(pounds) 450.0 2017.5 457.0 2079.0 451.0 2114.0 456.0 2091.0 463.0 2170.0 455.0 2283.0 480.0 2416.5 462.0 2070.1 436.0 2027.0 465.0 2138.0 Send data to Excel Part: 0 / 4 Part 1 of 4 Compute the least-squares regression line for predicting the weight(y) from OTT(). Round the slope and y intercept to at least four decimal places. Regression line equation: y- X