In a study of crop losses due to air pollution, plots of Blue Lake snap beans were grown in open-top field chambers, which were fumigated with various concentrations of sulfur dioxide. After a month of fumigation, the plants were harvested, and the total yield of bean pods were recorded for each chamber. Suppose X = sulfur dioxide concentration (ppm) and Y = yield (kg). Here is the information about the data. n = 17, xbar (sample mean of X) = 0.12, ybar (sample mean of Y) =1.117, sX = 0.11724, sY = 0.31175, r = -0.8506, SS(resid) = 0.2955 residual standard deviation (se) = 0.14 slope of the least-squares regression line: -2.26 Using the given information, what is the standard error of the slope (SEb1)? what’s the value of the test statistic (ts)?
In a study of crop losses due to air pollution, plots of Blue Lake snap beans were grown in open-top field chambers, which were fumigated with various concentrations of sulfur dioxide. After a month of fumigation, the plants were harvested, and the total yield of bean pods were recorded for each chamber. Suppose X = sulfur dioxide concentration (ppm) and Y = yield (kg). Here is the information about the data.
n = 17, xbar (sample mean of X) = 0.12, ybar (sample mean of Y) =1.117, sX = 0.11724, sY = 0.31175, r = -0.8506, SS(resid) = 0.2955
residual standard deviation (se) = 0.14
slope of the least-squares regression line: -2.26
Using the given information, what is the standard error of the slope (SEb1)? what’s the value of the test statistic (ts)?
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