(a)
The predictor variable is the diameter.
(b)
The value of a is -0.223
The value of b is 0.7848
The equation of least squares line is,
y = -0.223 + 0.7848 x
(c)
P-value of the slope is 0.001
The hypotheses are,
Since p-value is less than 0.01 significance level, we reject null hypothesis H0 and conclude that there is significant evidence that
(d)
r = = 0.8961
P-value of the correlation coefficient is 0.001
Since p-value is less than 0.01 significance level, we reject null
hypothesis H0 and conclude that there is significant evidence that
correlation coefficient is not 0 at 1% level of significance.
u LLS FRUICHUISJ and 6 use the following information. Prehistoric pottery vessels are usually found as...
Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from Mimbres Mogollon Archaeology by A. I. Woosley and A. J. McIntyre (University of New Mexico Press) provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data. Predictor Coef SE Coef T...
Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from Mimbres Mogollon Archaeology by A. I. Woosley and A. J. McIntyre (University of New Mexico Press) provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data. Please show steps for part...
O-8 points My Notes O Ask Your Teacher Prehistoric pottery vessels are usualy found as sherds (broken pleces) and are carefully reconstructed if enough shends can be found. Information taken from Mimbres Mogolon Archaology by A 1 Wosley and A. J, McIntyre (University of New Mexico Press) provides data relating x-body diameter in centimeters and y-height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistork site The following Minitab printout provides an analysis of the data Predieter...
We use the form ŷ = a + bx for the least-squares line. In some computer printouts, the least-squares equation is not given directly. Instead, the value of the constant a is given, and the coefficient b of the explanatory or predictor variable is displayed. Sometimes a is referred to as the constant, and sometimes as the intercept. Data from a report showed the following relationship between elevation (in thousands of feet) and average number of frost-free days per year...
we use the form y a + bx for the least-squares line. In some computer printouts, the least-squares equation is not given directly. Instead, the value of the constant a is given, and the coefficient b of the explanatory or predictor variable is displayed. Sometimes a is referred to as the constant, and sometimes as the intercept. Data from a report showed the following relationship between elevation (in thousands of feet) and average number of frost-free days per year in...
We use the form = a + bx for the least-squares line. In some computer printouts, the least-squares equation is not given directly. Instead, the value of the constant a is given, and the coefficient b of the explanatory or predictor variable is displayed. Sometimes a is referred to as the constant, and sometimes as the intercept. Data from Climatology Report No. 77-3 of the Department of Atmospheric Science, Colorado State University, showed the following relationship between elevation (in thousands of...
The following Minitab display gives information regarding the relationship between the body weight of a child (in kilograms) and the metabolic rate of the child (in 100 kcal/ 24 hr). Predictor Coef SE Coef T P Constant 0.8408 0.4148 2.06 0.84 Weight 0.39836 0.02978 13.52 0.000 S = 0.517508 R-Sq = 96.8% (a) Write out the least-squares equation. y hat = + x (b) For each 1 kilogram increase in weight, how much does the metabolic rate of a child...
The following Minitab display gives information regarding the relationship between the body weight of a child (in kilograms) and the metabolic rate of the child (in 100 kcal/ 24 hr). Predictor Coef SE Coef T P Constant 0.8516 0.4148 2.06 0.84 Weight 0.41294 0.02978 13.52 0.000 S = 0.517508 R-Sq = 96.8% (a) Write out the least-squares equation. (b) For each 1 kilogram increase in weight, how much does the metabolic rate of a child increase? (Use 5 decimal places.)...
Create the printout necessary for conducting a SLR analysis of your project data. Use y=price as your dependent variable and x=mileage/size as your independent variable. Copy and paste the printout here: Least Squares Linear Regression of Asking Predictor Variables Coefficient Std Error T P Constant 22790.9 1314.55 17.34 0.0000 Mileage -0.09109 0.03153 -2.89 0.0051 R² 0.1026 Mean Square Error (MSE) 1.102E+07 Adjusted R² 0.0903 Standard Deviation 3319.84 AICc 1220.5 PRESS 8.47E+08...
Is there sufficient evidence to support a claim of linear correlation? Yes or No The Minitab output shown below was obtained by using paired data consisting of weights (in lb) of 29 cars and their highway fuel consumption amounts (in mi/gal). Along with the paired sample data, Minitab was also given a car weight of 3000 lb to be used for predicting the highway fuel consumption amount. Use the information provided in the display to determine the value of the...