Question
A botanist conducted an experiment on the cold tolerance of the grass species Echinochloa crus--galli. The CO2 uptake of 21 plants from Mississippi was measured
A botanist conducted an experiment on the cold tolerance of the grass species Echinochloa crus--galli.
The CO2 uptake of 21 plants from Mississippi was measured at several levels of ambient CO2 concentration.
The variables are: Uptake and Concentration.
Call: lm(formula = Uptake ~ Concentration)
Coefficients:
Estimate | Std. Error | T-value | Pr(>|t|) | |
---|---|---|---|---|
(Intercept) | 12.5418 | 1.3455 | 9.321E-08 | |
Concentration | 0.007523 | 0.0026 | 0.00848 |
A. T-statistic
Find the t-statistic for the test for the intercept 0 : 0 : 0 = 0
Copy code and paste below with correct value (round to 4 decimals):
T_val_0 = # your answer here
print(T_val_0)
In [ ]:
# your code here
fail() # No Answer - remove if you provide an answer
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B. T statistic
Find the t-statistic for the test for the intercept 1 : 0 : 1 = 0
Copy code and paste below with correct value (round to 4 decimals):
T_val_1 = # your answer here
print(T_val_1)
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# your code here
fail() # No Answer - remove if you provide an answer
In [ ]:
Analysis of Variance (ANOVA) Table
Df | Sum Sq | Mean Sq | F value | Pr( >F) | |
---|---|---|---|---|---|
Regression | ___ | 102.84 | ___ | ___ | ___ |
Errors | ___ | 226.67 | ___ | ||
Total | ___ | ___ |
C. ANOVA table missing values
Fill in the missing values in the ANOVA table above. We are going to do that by filling in the values in the code bellow:
Copy the following code and enter it in the following cell. Prodide the corresponding values
df.regression= #degrees of freedom for SS Regression
df.residuals = #degrees of freedom for SS Residuals (errors)
df.total = #degrees of freedom for SS Total
SST= # Sums of squares Total
MSR= # Mean Sum os squares for Regression
MSE= # Mean Sum os squares Errors
F= # F statistic
pval= # p-value for the F-test
results<-c(df.regression,df.residuals,df.total,SST,MSR,MSE,F,pval)
results
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# your code here
fail() # No Answer - remove if you provide an answer
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D. Find Residual Standard Error:
Copy code and paste below with correct value (round to 5 decimals):
res.sd= # your answer
res.sd # this line is so that you see the value
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# your code here
fail() # No Answer - remove if you provide an answer
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E. Coefficient of Determination
Find R-squared:
Copy code and paste below with correct value (round to 4 decimals):
Rsq= # value of R-squared
Rsq # this line is so that you see the value
In [ ]:
# your code here
fail() # No Answer - remove if you provide an answer
In [ ]:
F. Sigma
Obtain a point estimate for 2
Copy code and paste below with correct value (round to 2 decimals):
Sigmasq= # your answer
Sigmasq # this line is so that you see the value
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# your code here
fail() # No Answer - remove if you provide an answer
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G. Confidence Interval for the Slope
Find the 95% confidence interval for the slope.
Copy code and paste below with correct value (round to 5 decimals):
slope.lower= # lower bound for the slope 1
slope.upper= # upper bound for the slope 1
c(slope.lower,slope.upper) # this line is so that you see the value
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# your code here
fail() # No Answer - remove if you provide an answer
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H. Confidence Interval for mean response
Find a confidence interval for the mean response at when the ambient CO2 concentration is 340.
You can use that mean ambient CO2 concentration is 435 and xx = 7180829
Copy code and paste below with correct value (round to 5 decimals):
fitted= # fitted value for C02 = 340
tval= # critical value for the t distribution with corresponding degrees of freedom
mean.se= # standard error for mean response
meanresp.lower= # lower bound for the mean response
meanresp.upper= # upper bound for the mean response
c(fitted,meanresp.lower ,meanresp.upper) # this line is so that you see the value
In [ ]:
# your code here
fail() # No Answer - remove if you provide an answer
In [ ]:
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