A simple linear regression was developed: Several confidenc…
A simple linear regression was developed: Several confidence intervals were constructed for > confint(fit, level = 0.94, type = “Wald”) 3 % 97 % (Intercept) -1.645 1.350 x 0.117 1.038 > confint(fit, level = 0.96, type = “Wald”) 2 % 98 % (Intercept) -1.807 1.511 x 0.068 1.088 > confint(fit, level = 0.98, type = “Wald”) 1 % 99 % (Intercept) -2.075 1.779 x -0.015 1.170 > confint(fit, level = 0.99, type = “Wald”) 0.5 % 99.5 % (Intercept) -2.338 2.042 x -0.096 1.251 A hypothesis test was conducted to assess whether is different from zero What would be the p-value of this test?
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Suppose we are conducting an experiment that measures the pressure of an industrial oven (outcome Y) based upon specific temperatures (predictor X). The temperature is a predictor variable with levels of . Suppose these are the only three temperatures that the oven uses. Would the most reasonable assignment for the temperature variable be a random effect or a fixed effect?
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