KD
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Answers (3)
KD
Answered
An actuary wanted to develop a model to predict how long individuals will live. After consulting a number of physicians, she collected the age at death (y), the average number of hours of exercise per week (x1), the cholesterol level (x2), and the number of points that the individual's blood pressure exceeded the recommended value (x3). A random sample of 40 individuals was selected. The computer output of the multiple regression model is shown below. 
Is there enough evidence at the 10% significance level to infer that the model is useful in predicting length of life?
______________ enough evidence at the 10% significance level to infer that the model is useful in predicting length of life.
Is there enough evidence at the 1% significance level to infer that the average number of hours of exercise per week and the age at death are linearly related?
What is the test statistic?
t = ______________
Conclude:
______________
.
There ______________ enough evidence at the 1% significance level to infer that the average number of hours of exercise per week and the age at death are linearly related.
Is there enough evidence at the 5% significance level to infer that the cholesterol level and the age at death are negatively linearly related?
What is the test statistic?
t = ______________
Conclude:
______________
.
There ______________ enough evidence at the 5% significance level to infer that the cholesterol level and the age at death are negatively linearly related.
Is there sufficient evidence at the 5% significance level to infer that the number of points that the individual's blood pressure exceeded the recommended value and the age at death are negatively linearly related?
What is the test statistic?
t = ______________
Conclude:
______________
.
There ______________ sufficient evidence at the 5% significance level to infer that the number of points that the individual's blood pressure exceeded the recommended value and the age at death are negatively linearly related.
What is the coefficient of determination?
______________
Explain:
________________________________________________________
Is there enough evidence at the 10% significance level to infer that the model is useful in predicting length of life?______________ enough evidence at the 10% significance level to infer that the model is useful in predicting length of life.
Is there enough evidence at the 1% significance level to infer that the average number of hours of exercise per week and the age at death are linearly related?
What is the test statistic?
t = ______________
Conclude:
______________
.There ______________ enough evidence at the 1% significance level to infer that the average number of hours of exercise per week and the age at death are linearly related.
Is there enough evidence at the 5% significance level to infer that the cholesterol level and the age at death are negatively linearly related?
What is the test statistic?
t = ______________
Conclude:
______________
.There ______________ enough evidence at the 5% significance level to infer that the cholesterol level and the age at death are negatively linearly related.
Is there sufficient evidence at the 5% significance level to infer that the number of points that the individual's blood pressure exceeded the recommended value and the age at death are negatively linearly related?
What is the test statistic?
t = ______________
Conclude:
______________
.There ______________ sufficient evidence at the 5% significance level to infer that the number of points that the individual's blood pressure exceeded the recommended value and the age at death are negatively linearly related.
What is the coefficient of determination?
______________Explain:
________________________________________________________
On May 28, 2024
Yes, there is; 4.068; Reject; is; -1.909; Reject; is; -1.143; Do not reject; is not; .225; This means that 22.5% of the variation in the age at death is explained by the three variables: the average number of hours of exercise per week, the cholesterol level, and the number of points that the individual's blood pressure exceeded the recommended value, while 77.5% of the variation remains unexplained.
KD
Answered
Which of the following is not an example of a firm that sells or leases business database services to clients?
A) Dun & Bradstreet
B) Bloomberg
C) Census Bureau
D) Dow Jones & Co.
A) Dun & Bradstreet
B) Bloomberg
C) Census Bureau
D) Dow Jones & Co.
On May 25, 2024
C
KD
Answered
Factor the expression (x+4y) 2−9a2( x + 4 y ) ^ { 2 } - 9 a ^ { 2 }(x+4y) 2−9a2 completely.
A) (x+4y+3a) (x−4y−3a) ( x + 4 y + 3 a ) ( x - 4 y - 3 a ) (x+4y+3a) (x−4y−3a)
B) (x+4y−3a) 2( x + 4 y - 3 a ) ^ { 2 }(x+4y−3a) 2
C) (x+4y+3a) 2( x + 4 y + 3 a ) ^ { 2 }(x+4y+3a) 2
D) (x+4y+9a) (x+4y−9a) ( x + 4 y + 9 a ) ( x + 4 y - 9 a ) (x+4y+9a) (x+4y−9a)
E) (x+4y+3a) (x+4y−3a) ( x + 4 y + 3 a ) ( x + 4 y - 3 a ) (x+4y+3a) (x+4y−3a)
A) (x+4y+3a) (x−4y−3a) ( x + 4 y + 3 a ) ( x - 4 y - 3 a ) (x+4y+3a) (x−4y−3a)
B) (x+4y−3a) 2( x + 4 y - 3 a ) ^ { 2 }(x+4y−3a) 2
C) (x+4y+3a) 2( x + 4 y + 3 a ) ^ { 2 }(x+4y+3a) 2
D) (x+4y+9a) (x+4y−9a) ( x + 4 y + 9 a ) ( x + 4 y - 9 a ) (x+4y+9a) (x+4y−9a)
E) (x+4y+3a) (x+4y−3a) ( x + 4 y + 3 a ) ( x + 4 y - 3 a ) (x+4y+3a) (x+4y−3a)
On May 21, 2024
E