Sleep time, y(in hours)GAS score, x6.08.16.55.910-5.16.07.95.79-7.16.78.1.07.48.17.27-3.06.92.18.16.9.05.89.26.23.97.03.57.71.78.7Figure 13.88.5Send data to ExcelUsing this information, answer the following:1. Fill in the blank: For these data, GAS scores that are greater thanthe mean of the GAS scores tend to be paired with sleep times thatChoose onearethe mean of the sleep times.2. According to the regression equation, for an increase of one in GASscore, there is a corresponding decrease of how many hours in sleeptime?3. From the regression equation, what is the predicted sleep time (inhours) when the GAS score is 6.0? (Round your answer to at least onedecimal place.)4. What was the observed sleep time (in hours) when the GAS scorewas 6.0? The well-known psychologist Dr. Elbod has established what he calls hisGeneralized Anxiety Scale (GAS). The GAS, which is a scale from o to 10,measures the "general anxiety" of an individual, with higher GAS scorescorresponding to more anxiety. (Dr. Elbod's assessment of anxiety isbased on a variety of measurements, both physiological andpsychological.)圖AaWe're interested in making predictions about individuals' sleep behaviorbased on their GAS scores. The bivariate data below give the GAS score(denoted by x) and the number of hours of sleep last night (denoted by y) for each of the fifteen adults in a study. The least-squares regressionline for these data has equation =8.36 – 0.25.x. This line, along with a scatterplot of the sample data, is shown in Figure 1.

Regression Line y = 8.36 -0.25x

2. According to the regression equation, for an increase of one in GAS score, there is a corresponding decrease of how many hours in sleep U time? 3. From the regression equation, what is the predicted sleep time (in hours) when the GAS score is 6.0? (Round your answer to at least one |U decimal place.) 4. What was the observed sleep time (in hours) when the GAS score was 6 0?

2. According to the regression equation, for an increase of one in GAS score, there is a corresponding decrease of how many hours in sleep U time? 3. From the regression equation, what is the predicted sleep time (in hours) when the GAS score is 6.0? (Round your answer to at least one |U decimal place.) 4. What was the observed sleep time (in hours) when the GAS score was 6 0?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Sheila's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if the glucose level is above 140 miligrams per deciliter (mg/dl) one hour after having a sugary drink. Sheila's measured glucose level one hour after the sugary drink varies according to the Normal distribution with μμ = 120 mg/dl and σσ = 10 mg/dl. (a) If a single glucose measurement is made, what is the probability that Sheila is diagnosed as having gestational diabetes?(b) If measurements are made on 5 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability that Sheila is diagnosed as having gestational diabetes?
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=a+bx a=28.724 b=-1.299 r2=0.388129 r=-0.623 Use this to predict the number of situps a person who watches 7 hours of TV can do (to one decimal place) Submit Question
The line of best fit through a set of data is y = – 27.749 + 1.474x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 30? y = Round to 1 decimal place.
34. A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=5.94 b=38.61 r2=0.368449 r=0.607 Use this to predict the final exam score of a student who studies 3 hours per week, and please round your answer to a whole number.
Count of Income Educ. Income 2. 4 Grand Total 55 169 141 426 355 61 33 125 122 75 39 175 3. 33 43 119 Grand Total 92 327 306 900 HOLD INCOME HEAD OF HOUSE EDUC. LEVE Under $30,000 COLUMNI: Some High School COLUMN2: Hgh School Graduate COLUMNS: Some College COLUMNA: College Graduate $30,000-s60,000 Over $60,000
A pediatrician wants to determine the relation that exists between a child's height (x) and head circumference (y). She randomly selects 11 children from her practice and measures their height and head circumference in inches. She finds that the correlation is 0.477 and the regression equation is y = 0.149x + 8.15 What proportion of the variation in head circumference can be explained by the variation in the values of height? % Report answer as a percentage accurate to one decimal place.
I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before
Suppose that for a typical FedEx package delivery, the cost of the shipment is a function of the weight of the package measured in ounces. You want to try to predict the cost of a typical shipment given package dimensions. If 10 packages in a city are sampled and the regression output is given below, report the regression equation. 1) (cost of delivery) = 1.468*(weight) - 23.015 2) (weight) = -23.015*(cost of delivery) + 1.468 3) (cost of delivery) = -23.015*(weight) + 1.468 4) (cost of delivery) = 1.468*(weight) 5) (weight) = 1.468*(cost of delivery) - 23.015
A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=6.22 b=21.6 r2=0.477481 r=0.691 Use this to predict the final exam score of a student who studies 8 hours per week, and please round your answer to a whole number.
A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam Scores (y). The results of the regression were: y=ax+b a=6.179 b=28.96 r²=0.937024 r=0.968 Use this to predict the final exam score of a student who studies 4 hours per week, and please round your answer to a whole number.
Does how long young children remain at the lunch table help predict how much they eat? Twenty toddlers were observed over several months at a nursery school. "Time" is the average number of minutes a child spent at the table when lunch was served. "Calories" is the average number of calories the child consumed during lunch, calculated from careful observation of what the child ate each day. A regression was run and the results were: ý = 114 +1.2*x R² = 0.74 T = 0.858 Predict the number of calories a toddler consumes who remains at the table for 5 minutes (round your answer to two decimal places)
A regression was run to determine if there is a relationship between hours of study per week (X) and the test scores (y ). The results of the regression were:y=ax+ba=5.931b=20.1r2=0.748225r=0.865Use this to predict the final exam score of a student who studies 3 hours per week, and please round your answer to a whole number.