Electric fruit - Plant physiologists study the fruit ripening process to understand how best to grow and store fruit tha

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Electric Fruit Plant Physiologists Study The Fruit Ripening Process To Understand How Best To Grow And Store Fruit Tha 1 (37.08 KiB) Viewed 33 times

Electric Fruit Plant Physiologists Study The Fruit Ripening Process To Understand How Best To Grow And Store Fruit Tha 2 (35.7 KiB) Viewed 33 times

Electric fruit - Plant physiologists study the fruit ripening process to understand how best to grow and store fruit that is satisfying to eat. Past research has shown that when stonetruit such as peaches and nectarines are stored at low temperatures for extended periods, the texture of the fruit becomes dry or "mealy." Plant biology researchers studying the changes in the cells of frult as it matures took a random sample of 41 nectarines that had been stored at cold temperatures for a few weeks. They measured the apparent juice content Juice) and the electrical resistance in kiloohms (resistance of the fruit. The scatter plot and a summary of the data is given below. The correlation between Julce and resistance was found to ber=-0.7337 Round all calculated answers to 4 decimal places Juice Content by Electrical resistance 40 SC 30 25 Apparent juice content (5) 20 15 OH 10 Electrical resistance (kiloohms) Variables Mean Sample SD Resistance 5.6712 1.7651 Juice 20.6585 10.5519 1. The relationship between resistance and juice is best described as ??? and 277 2. Calculate the slope and intercept for the linear regression equation that predicts juice from resistance
Slope: 2. Calculate the slope and intercept for the linear regression equation that predicts juice from resistance. Note: Do not use rounded values for intermediate calculations! and Intercept: 3. Fill in the blanks: The coefficient of determination, R2, for the linear regression model of juice from resistance is This means % of the variation in 1772 4 can be explained by its linear relationship to ??? 4. As part of the analysis, the researchers examined the residuals for the regression model to determine if the conditions for linear regression have been met. Which condition did the researchers check with the following plot? that Normal - Plot for the Residuals 15 10 Sample Quarties -10 -15 2 Theoretical Quantes A. The researchers were checking to see if the variability of points around the least squares line was roughly constant. B. The researchers were checking the strength of the evidence that the slope of the regression line is nonzero. C. The researchers were checking to see if the residuals are within the range of data used to construct the model D. The researchers were checking to see if the residuals are nearly normal.