Que.21
Since slope coefficient is positive, hence
Correct linear regression line is D.
Que.22
Residual is defined as e = y - 21.52 -0.608 x
Que.23
Since slope coefficient is positive,
There is somewhat a positive linear relationship between birth weight and estriol levels.
Que.24
Variance of birth weight can be somewhat explained by estriol levels.
Que.25
F test
Que.26
The slope of the regression line is not significantly different than 0 with = 0.001
use first chart for 21-26 Question 21 5 pts Greene & Touchstone conducted a study to...
use chart for 21-26 Question 21 5 pts Greene & Touchstone conducted a study to relate birth weight to the estriol levels from 24-hour urine specimens taken from pregnant women who are near term. The test can provide indirect evidence of an abnormally small fetus. The scatter plot of the data is shown below. We want to perform a statistical test to find linear relationship between birth weight and estriol levels. Linear regression result shows that y = 21.52 +...
Question 3 A researcher is interested in the relationship between the birth weights of infants and mothers' smoking habits. He uses the birth weight of an infant (ounces) and the average number of cigarettes the mother smokes per day during the pregnancy as the dependent and independent variables, y and x, respectively. Using a sample of size (1388 the following model is obtained by the method of least squares: y-119.770.514.x (3.15) (0.13) SE e the figures in brackets are the...
Question 9 5 pts Major League Baseball Games The following scatter plot shows the number of home runs versus the number of attendance (in 1000 people) for some randomly selected games. Attendance and Runs for 11 Baseball Games. 6 8 10 Runs 2 4 O 20 30 40 -50 Attandance x1000) The following shows the output generated by a software for the least-square regression line using this data: Simple linear regression results: Runs - 1.020 +0.1590 Attendance Sample size: 11...
2. A study of the relationship between age and blood pressure yielded the following data Blood Pressure (Y 126 131 161 128 1489 140 148 Test using a significance level of 5% whether there is an increasing linear relationship Age(X) 23 27 45 3 536 37 37 a. between age and blood pressure. Parameter: A- slope of regression line for blood pressure vs.age. Hypotheses: Test Statistic: t.A-A d.f- with the same variance. Rejection Region: Calculated Test: Conclusion P-value. b. Find...
Question 21 1 pts The debate between Louis Thurstone and Charles Spearman raged for many years until a technique called_revealed that each researcher's theory was partially correct. O analysis of variance O multiple regression fluid intelligence confirmatory factor analysis Question 22 1 pts Intelligence scores among identical twins are strongly correlated when the twins are raised in the same household and are ___ correlated when the twins are separated at birth and raised in different households. O not O weakly...
whlll 3 pts Question 5 The is the probability of being wrong. Positive skew Scatter plot Interval data p-value DOLL Question 4 3 pts In a bivariate regression, the amount of variance in the dependent variable that can be explained by the independent variable is calculated by squaring the Slope of the regression line t-score Correlation coefficient p-value Question 5 is the probability of being wrong. Posi
Question 312 marks An study was conducted using data from pedometers of 68 randomly selected participants. The researchers wanted to know if the number of steps taken by a participant (Steps) could be predicted using the time they spent walking (Minutes). The data are available on MyUni in the file Steps.csv. 2 (a) Produce a scatterplot of Steps vs Minutes and describe any relationship between these two variables. (b) Perform a linear regression analysis on this data in MATLAB and...
Question 4 1 pts Suppose a experiment is conducted to study the relationship between the percentage of a certain drug in the bloodstream (X) and the length of the time it takes to react to a stimulus (Y). The results are below. X 2 1 4 3 5 Y 1 1 2 2 4 z = 15, Ey=10, 22 = 55, y = 26, ry= 37. Find the coefficient of correlation between x and y. 0 -0.85 O 0.85 O...
please answer question 7 (confidence interval). (14 points) Birth weight and gestational age. The Child Health and Development Studies considered pregnancies among women in the San Francisco East Bay area. Researchers took a random sample of 50 pregnancies and used statistical software to construct a linear regression model to predict a baby's birth weight in ounces using the gestation age (the number of days the mother was pregnant). A portion of the computer output and the scatter plot is shown...
Question 4 1.5 pts Which of the following statement is true based on the following regression equation? IQ = 4.0 + Reading Label * 5.6 A unit point change in IQ will result in 5.6-point increase in reading label. O A unit point change in IQ will result in 9.6-point increase in reading label. A unit point change in reading label will increase IQ by 5.6 point Reading label is not a good predictor of IQ. Question 5 1.5 pts...