Model SummaryAdjusted RSquareStd. Error ofthe EstimateModelR Square.506*.256.2485.286a. Predictors: (Constant), PERCENT FEMALE COMMITTEDNONOFFENSE, PERCENT FEMALES COMMITTEDDELINQUENT, PERCENT MALE COMMITTED NONOFFENSE,LENGTH OF STAY: FEMALES - MONTHS, PERCENT OF MALESCOMMITTED DELINQUENT, LENGTH OF STAY: MALES-MONTHSCoefficientsStandardizedCoefficientsUnstandardized CoefficientsModelBStd. ErrorBetaSig.1(Constant).617.2722.273.023LENGTH OF STAY:.785165.4054.757.000MALES - MONTHSLENGTH OF STAY:FEMALES - MONTHS-.103.163-.052-.630.529PERCENT OF MALESCOMMITTEDDELINQUENT-1.0091.417-.059-.712.477PERCENT FEMALESCOMMITTEDDELINQUENT4.8181.344.2793.584.000PERCENT MALECOMMITTEDNONOFFENSE-6.2944.891-.059-1.287.199PERCENT FEMALEСOMMITTEDNONOFFENSE-2.8423.239-.041-877.381a. Dependent Variable: EDU STAFF INSTRUCT: PAYROLL-FTOrder the effect of these variables on the number of educational staff on payroll-list the strongest variablefirst and the weakest one last

Answered: Adjusted R Square Std. Error of the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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P3
For each of the variables described below, indicate whether it is a quantitative or a categorical (qualitative) variable. Also, indicate the level of measurement for the variable: nominal, ordinal, interval, or ratio. Make sure your responses are the most specific possible. Variable Level of measurement Type of variable Nominal O Quantitative (a) End-of-year stock classification (high yield, medium yield, or low yield) Ordinal Interval O Categorical Ratio O Quantitative (b) Temperature (in degrees Fahrenheit) O Categorical O Quantitative Nominal Ordinal ○ Interval 00 00 Ratio Nominal Ordinal (c) Price (in dollars) of a shirt on the clearance rack O Categorical Interval Ratio
+ + + + + 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 data a Find these values. Type DNE if the value cannot be determined from the boxplot: Min = Q₁ = Median Q3 Max = IQR = Range = a. Which quarter has the smallest spread of data? 1st 2nd 3rd 4th b. Which quarter has largest spread of data? 1st 2nd 3rd 4th c. What percentage of the data lies between 2 and 13? d. What percentage of the data lies between 13 and 14? % %
T he number of awards earned by students at one high school is recorded. Predictors of the number of awards earned include the type of program in which the student was enrolled (e.g., vocational, general or academic) and the score on their final exam in math. Below is a description of the variables and their levels of measurement Variables Student ID - NOMINAL Math Scores - RATIO Total # of awards - DISCRETE Program Type - NOMINAL (categorical with three levels: (1)general, (2)academic, (3)vocational) Total Students= 200 Total Awards = 194 Total math scores = 10529 Program Type sum = 405 Describe the modality (i.e., shape) of this distribution (please be sure to include the appropriate statistics to support your description)
Scenario: Is there a relationship between test scores (X) and presentation type (Y)? Test scores were quantified using the % correct. Students were able to choose the presentation type of their test — they could take the test online or in-person. Question: What is the scale of measurement for variable X in this scenario? Nominal Ordinal Scale
Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 134 to 192 cm and weights of 40 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 166.94 cm, y = 81.26 kg, r= 0.352, P-value = 0.000, and y = - 101 + 1.04x. Find %3D the best predicted value of y (weight) given an adult male who is 145 cm tall. Use a 0.10 significance level. The best predicted value of y for an adult male who is 145 cm tall is kg. (Round to two decimal places as needed.)
Over doses from opioids have captured the national spotlight. Rightly so they kill nearly 30,000 Americas a year and cause more than 1 million hospitalizations. However, the misuse of over-the-counter pain medications (e.g. Tylenol, Advil, Aleve) can cause stomach bleeding, ulcers, liver disease and, in some cases, death. Approximately 80% of Americans use these medications to relieve headaches, backaches, sore muscles, and reduce fever but they are unaware of the dangers if the drugs are not used correctly. A random sample (n=101) of adults were given a questionnaire to ask the question "How often do you use pain medication in one day?". Using the output, histogram, box- whisker plot, and the QQ Plot attached - check the assumption of normality for this data. PainNormalityInformationoutputhistbox 210317.pdf The assumption of normality was checked by comparing the and the median. This suggests that the distribution is slightly The + The is between the acceptable range of -3 and +3.…
8. High levels of cholesterol in the blood increase the risk of heart disease. For 14-year-old boys, the distribution of blood cholesterol is approximately Normal with a mean of 170 milligrams of cholesterol per deciliter of blood (mg/dl) and a standard deviation of 20 mg/dl. Which equation could be used to solve for the 30th percentile of this distribution? x-170 (a)-0.30 = 20 (b) 0.30 = X-170 20 (c)-0.52 = (c) 0.30 = X-170 20 X-170 (d) 0.52= 20 170-x 20
price/pound US dollars w A apples plums Fig 1. Inconsistency of prices for common fruit items among twelve major cities oranges This graph shows the difference in average fruit prices, as measured in twelve major cities across the world. The error bars represent + 2 SE. • Is there a statistically significant difference between the average price of apples and plums? How do you know? • Is there a statistically significant difference between the average price of apples and oranges? How do you know?
21. Which of the following statements is true regarding the sources of variation present in an analysis of regression? SSy is partitioned into variation explained by the regression model and residual variation. If most of the variability in Y is associated with residual variation, then X predicts Y. There are three sources of variation in an analysis of regression: regression variance, residual variance, and error variance. Regression variation measures variability in X, whereas residual variation measures variability in Y.
Can you answer #2?
Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?

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