Question 1 A Biologist assumes that there is linear relationship between the amount of fertilizer supplied to tomato plants and the subsequent yield of tomatoes obtained. Eight tomato plants, of the same variety were selected at random and treated weekly with a solution in which \( X \) grams of fertilizer was dissolved in a fixed water. The yield y kilograms of tomatoes were recorded. \begin{tabular}{lllllllll} \hline Plant & A & B & C & D & E & F & G & H \\ \hline \( \mathbf{X} \) & 1.0 & 1.5 & 2.0 & 2.5 & 3.0 & 3.5 & 4.0 & 4.5 \\ \hline \( \mathbf{y} \) & 3.9 & 4.4 & 5.8 & 6.6 & 7.0 & 7.1 & 7.3 & 7.7 \\ \hline \end{tabular} a. Calculate Pearson Correlation Coefficient and Interpret the result. b. Conduct the significance test to check the correlation between the variables. Use the significance level 0.05 and 0.01 c. Plot a Scatter Diagram of yield \( Y \) against amount of fertilizer \( X \). d. Calculate Regression line \( Y \) on \( X \) and \( X \) on \( Y \). Predict the value of Yield against Fertilizer. e. Determine the Coefficient of Determination f. Test a Hypothesis for Significance of Coefficient of Determination.
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1. A biologist assumes that there is a linear relationship between the amount of fertilizer supplied to tomato plants and the subsequent yield of tomatoes obtained. Eight tomato plants, of the same variety, were selected at random and treated, weekly, with a solution in which x grams of fertilizer was dissolved in a fixed quantity of water. The yield, y kilograms, of tomatoes was recorded. Plant A B C D E F G H x 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 y 3.9 4.4 5.8 6.6 7.0 7.1 7.3 7.7 (a) Plot a scatter diagram of yield, y, against amount of fertilizer, x. (3 marks) (b) Calculate the equation of the least squares regression line of y on x. (6 marks) (c) Estimate the yield of a plant treated, weekly, with 3.2 grams of fertilizer. (2 marks) (d) Indicate why it may not be appropriate to use your equation to predict the yield of a plant treated, weekly, with 20 grams of fertilizer. (1 mark)
Breanna O.
SHOW ALL OF YOUR WORK TO GET FULL CREDIT Question #1: A biologist assumes that there is a linear relationship between the amount of fertilizer supplied to tomato plants and the subsequent yield of tomatoes obtained. Eight tomato plants, of the same variety, were selected at random and treated weekly with a solution in which x grams of fertilizer was dissolved in a fixed quantity of water. The yield, Y, is measured in kilograms and recorded as follows: Plant # 1.0 1.5 2.0 2.5 3.0 3.5 4.0 3.9 4.4 5.8 6.6 7.0 7.1 7.3 (2 points) Plot a scatter plot diagram of yield, Y, against the amount of fertilizer, x. (2 points) Calculate the coefficient of correlation, r. (2 points) Estimate the regression equation of the least square method of y and x. (1 point) Predict the yield of a plant treated weekly with 3.2 grams of fertilizer. (1 point) Predict the yield of a plant treated weekly with 3.0 grams of fertilizer and calculate the residual. (1 point) Indicate why it may not be appropriate to use your equation to predict the yield of a plant treated weekly with 20 grams of fertilizer. (1 point) What is the percent of variation in yield that the amount of fertilizer can explain?
Lien L.
A biologist assumes that there is a linear relationship between the amount of fertilizer supplied to tomato plants and the subsequent yield of tomatoes obtained. Eight tomato plants of the same variety were selected at random and treated weekly with a solution in which x grams of fertilizer was dissolved in a fixed quantity of water. The yields y kilograms of tomatoes were recorded. [ egin{array}{|c|c|} hline ext{Plant} & x & y hline A & 1.0 & 3.9 B & 1.5 & 4.4 C & 2.0 & 5.8 D & 2.5 & 6.6 E & 3.0 & 7.0 F & 3.5 & 7.1 G & 4.0 & 7.3 H & 4.5 & 7.7 hline end{array} ] (a) Calculate the simple linear regression equation. (b) Estimate the yield of plant treated weekly with 3.2 grams of fertilizer.
Tim T.
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