Maths-
General
Easy
Question
A tomato grower experiments with a new organic fertilizer and sets up five separate garden beds: A, B, C, D and E. The grower applies different amounts of fertilizer to each bed and records the diameter of each tomato picked. The average diameter of a tomato from each garden bed and the corresponding amount of fertilizer are recorded below.
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)
A )Draw a scatter plot for the data with ‘Diameter’ on the vertical axis and ‘Fertilizer’ on the horizontal axis. Label the points A, B, C, D and E.
b)Which garden bed appears to go against the trend?
c)According to the given results, would you be confident saying that the amount of fertilizer fed to tomato plants does affect the size of the tomato produced?
Hint:
A scatter plot uses dots to represent values for two different numeric variables. A trend line is used to describe the behavior or direction of a scatter plot.
We are asked to graph the scatter plot, find the garden bed that goes against the trend and check if the variables are related.
The correct answer is: We are asked to graph the scatter plot, find the garden bed that goes against the trend and check if the variables are related.
ANSWER:
Step 1 of 3:
The coordinate points obtained by taking “diameter” on the vertical axis and “fertilizer” on the horizontal axis are:
(20,6.8),(25,7.4),(30,7.6),(35,6.2),(40,8.5)
The scatter plot corresponding points are:
![](data:image/png;base64,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)
Step 2 of 3:
The trend line corresponding to the scatter plot is:
![](data:image/png;base64,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)
The garden bed C went again the trend. It stays around the trend line but the rest of them lie on the line which is more accurate approximation.
Step 3 of 3:
Yes, I would confidently say that the amount of fertilizer fed to tomato plants does affect the size of the tomato produced.
If you analyze the graph, as the amount of fertilizer increases, there is an increase in the diameter of the tomato picked. This means, they are positively correlated.
If a trend line is upward or has a positive slope, then the variables for that graph corresponding to the line have a positive correlation.
Related Questions to study
Maths-
Find the solution of the system of equations.
![y equals negative 5 x squared plus 6 x minus 3](data:image/png;base64,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)
Y = - 4x - 3
Find the solution of the system of equations.
![y equals negative 5 x squared plus 6 x minus 3](data:image/png;base64,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)
Y = - 4x - 3
Maths-General
Maths-
Consider the variables x and y and the corresponding data
a) Draw a scatter plot for the data.
b) Is there a positive, negative or no correlation between x and y?
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)
Consider the variables x and y and the corresponding data
a) Draw a scatter plot for the data.
b) Is there a positive, negative or no correlation between x and y?
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)
Maths-General
General
Choose the negative adjective starting with ' r '
Choose the negative adjective starting with ' r '
GeneralGeneral
Maths-
Consider the variables x and y and the corresponding bivariate data .
a) Draw a scatter plot for the data.
b) Is there positive, negative or no correlation between x and y?
c) Fit a line of best fit by eye to the data on the scatter plot.
d) Use your line of best fit to estimate:
i) y when x=3.5
ii) y when x=0
iii) x when y=1.5
iv) x when y=5.5
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)
Consider the variables x and y and the corresponding bivariate data .
a) Draw a scatter plot for the data.
b) Is there positive, negative or no correlation between x and y?
c) Fit a line of best fit by eye to the data on the scatter plot.
d) Use your line of best fit to estimate:
i) y when x=3.5
ii) y when x=0
iii) x when y=1.5
iv) x when y=5.5
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)
Maths-General
Maths-
Find the solution of the system of equations.
![y equals negative x squared minus 2 x plus 9](data:image/png;base64,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)
Y = 3x+20
Find the solution of the system of equations.
![y equals negative x squared minus 2 x plus 9](data:image/png;base64,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)
Y = 3x+20
Maths-General
General
Solve the reading game.
Baby couldn't finish his HUMONGOUS sandwich
Solve the reading game.
Baby couldn't finish his HUMONGOUS sandwich
GeneralGeneral
Maths-
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
![](data:image/png;base64,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)
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
Maths-General
Maths-
Find the solution of the system of equations.
![y equals 7 x squared plus 12](data:image/png;base64,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)
![y equals 14 x plus 5](data:image/png;base64,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)
Find the solution of the system of equations.
![y equals 7 x squared plus 12](data:image/png;base64,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)
![y equals 14 x plus 5](data:image/png;base64,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)
Maths-General
Maths-
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
![](data:image/png;base64,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)
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
Maths-General
Maths-
Which number is next in the sequence? 35, 85, 135, 185, __
Which number is next in the sequence? 35, 85, 135, 185, __
Maths-General
Maths-
Consider this simple bivariate data set
a)Draw a scatter plot for the data
b)Describe the correlation between x and y as positive or negative.
c)Describe the correlation between x and y as strong or weak.
d)Identify any outliers.
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)
Consider this simple bivariate data set
a)Draw a scatter plot for the data
b)Describe the correlation between x and y as positive or negative.
c)Describe the correlation between x and y as strong or weak.
d)Identify any outliers.
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)
Maths-General
Maths-
Calculate the time required for the principal to triple itself at the rate of 15% per annum simple interest.
Calculate the time required for the principal to triple itself at the rate of 15% per annum simple interest.
Maths-General
General
Complete the sentences with the plural form of the word in brackets.
Complete the sentences with the plural form of the word in brackets.
GeneralGeneral
Maths-
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
We could possible draw numerous trends for a line. But the main purpose is to describe the pattern of the values from the line. So, it is necessary to choose the best fit for the set of values.
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
Maths-General
We could possible draw numerous trends for a line. But the main purpose is to describe the pattern of the values from the line. So, it is necessary to choose the best fit for the set of values.
Maths-
Show the conjecture is false by finding a counterexample. Two supplementary angles form a linear pair
Show the conjecture is false by finding a counterexample. Two supplementary angles form a linear pair
Maths-General