A researcher is investigating the characteristics of a certain grain. The researcher examines the relationship betwee the yield (kg/ha) of the grain, as a function of x, the number of days after flowering at which harvesting took place. data are shown in the accompanying table. Complete parts a through c below. a. Construct a scatter plot of the yields (kg/ha) of the grain as a function of the number of days after flowering at wh harvesting took place. Develop a simple linear regression model and a second-order regression model to predict th yield. Which scatter plot below shows the data? O A. 4,000- Q B. 4,000- Q O O C. 4,000- Q O D. 4,000+ Q
A researcher is investigating the characteristics of a certain grain. The researcher examines the relationship betwee the yield (kg/ha) of the grain, as a function of x, the number of days after flowering at which harvesting took place. data are shown in the accompanying table. Complete parts a through c below. a. Construct a scatter plot of the yields (kg/ha) of the grain as a function of the number of days after flowering at wh harvesting took place. Develop a simple linear regression model and a second-order regression model to predict th yield. Which scatter plot below shows the data? O A. 4,000- Q B. 4,000- Q O O C. 4,000- Q O D. 4,000+ Q
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A: ( in image)
B through C: run
y x
2518 15
2544 18
3336 21
3429 24
3029 27
3166 30
3475 33
3897 36
3770 39
3667 42
3695 45
3324 48
3501 51
3267 54
3099 57
2844 60

Transcribed Image Text:A researcher is investigating the characteristics of a certain grain. The researcher examines the relationship between the yield (kg/ha) of the grain, as a function of \( x \), the number of days after flowering at which harvesting took place. The data are shown in the accompanying table. Complete parts a through c below.
a. Construct a scatter plot of the yields (kg/ha) of the grain as a function of the number of days after flowering at which harvesting took place. Develop a simple linear regression model and a second-order regression model to predict the yield.
Which scatter plot below shows the data?
Choices:
- **A.** A scatter plot with points forming a roughly linear downward trend from left to right.
- **B.** A scatter plot showing a nonlinear pattern with points initially increasing, peaking around the middle, then decreasing.
- **C.** A scatter plot with points forming a downward nonlinear trend.
- **D.** A scatter plot showing a scattered distribution with no distinct pattern.
Each choice includes a graph with the axes labeled as:
- \( y \): Yield (kg/ha), ranging from approximately 0 to 4000 on the vertical axis.
- \( x \): Number of days after flowering, ranging from 0 to 70 on the horizontal axis.
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