The Linear Relation is given by:
y = a + bx,
where
x = age
y = number of working days miss
a = intercept = 23.57
b = slope = 0.452
For x = 32,
Substituting, we get:
y = 23.57 + (0.452 X 32)
= 38.0
So,
Answer is:
38.0
was collected from employee records to determine whether there is an association between an employee's age...
Mutant genes: In a study to determine whether the frequency of a certain mutant gene increases with age, the number of mutant genes per micro gram of DNA was counted for each of 15 men. The results are presented in the following table Age Number of Mutants 100 46 45 53 54 68 53 57 65 47 61 70 72 82 83 52 35 68 71 49 264 29 148 195 83 449 202 a. Compute the least-squares regression line...
An economist wants to determine the relationship between a person's age (in years) and his or her annual income in thousands of dollars). After gathering data from a sample of adults and fitting a regression model, the economist gets the following output from Excel: 0.523 0.274 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.244 49.637 27 ANOVA df F Significance F 0.005 9.412 Regression Residual Total 1 25 26 SS MS 23190.436 23190.436 61596.524 2463.861...
NEED QUICK will thumbs up! A political researcher wishes to know if political affiliation and age are related. He has collected data on 409 persons in three age categories. Is there evidence that age and political affiliation are related? Age Democrat Republican Independent Total 18-31 61 57 34 152 32-51 59 63 29 151 52-68 40 43 23 106 Total 160 163 86 409 Step 1: State the null and alternative hypothesis. H0H0: political affiliation and age are dependent HaHa:...
In this exercise, you will investigate the relationship between a worker's age and earnings. (Generally, older workers have more job experience, leading to higher productivity and earnings.) The following table contains data for full-time, full-years workers, age 25-34, with a high school diploma or B.A./B.S. as their highest degree. Download the data from the table by clicking the download table icon 0 . A detailed description of the variables used in the data set is available here Use a statistical...
A 10-year study conducted by the American Heart Association provided data on how age, blood pressure, and smoking relate to the risk of strokes. Data from a portion of this study follow. Risk is interpreted as the probability (times 100) that a person will have a stroke over the next 10-year period. For the smoker variable, 1 indicates a smoker and 0 indicates a nonsmoker. Risk Age Blood Pressure Smoker 14 58 201 0 23 82 98 1 25 74...
Help & explain please
Regression 1. A researcher is willing to investigate whether there is any linear relation bet ween income (x) in thousand dollars and food expenditures (y) in hundred dollars. A sample data on 7 households given the table below was collected. Assuming that a linear model is used to solve the problem. r-3-D) r-I 83 24 13 61 15 17 1. Write down the linear model 2. Write down the fitted regression line and Interpret the slope...
city code
%drivers21
fatal accidents/1000
1
12
1.309
2
5
0
3
12
2.539
4
9
2.003
5
11
2.034
6
14
4.08
7
13
2.639
8
9
0.124
9
6
0
10
10
1.145
11
13
2.719
12
18
3.128
13
10
1.676
14
17
3.769
15
14
2.639
16
13
1.449
17
12
3.121
18
10
2.616
19
9
0.788
20
14
2.631
21
10
1.887
22
12
1
23
9
0.652
24
12
1.209
25
15
0.775...
1. (55 points) The investigators are interested in asses the relationship between Systolic Blood Pressure (SBP) in mm Hg and Age in years among Hypertensive Patients. Specif- ically, whether a patient's SBP can be predicted from his or her age. They selected n=122 patients at random from a medical record database in a hospital. Assume that the simple linear regression model is appropriate. The following table shows regression output of a simple linear regression model relating the SBP to the...
The accompanying computer excel output
(please see attachment on Blackboard) provides details of data and
analysis on the topic of “patient satisfaction”. A hospital
administrator wished to study the relation between patient
satisfaction (Y) and patients’ age (X1, in years) , severity of
illness (X2), and anxiety level (X3).
The output includes a listing of all
46 observations; descriptive statistics for each variable; and, the
results of a regression analysis that uses patient satisfaction as
the dependent variable, and patient’s...
solvel only E F G H
below is pat data
3. A hospital administrator wished to study the relation between patient satisfaction (Y) and patients age (Xi, in years), severity of illness (X2, an index) and anxiety level (X3, an index). The administrator randomly selected 23 patients and collected the data in pat, where larger values of Y, X2 and X3 are, respectively, associated with more satisfaction, increased severity of illness and more anxiety. The data is saved in Moodle2...