We have given regression equation is,
if x=25
483.55 |
Question 13 O Mark this question The scatterplot below shows the relationship between the grams of...
This scatterplot shows data on a sample of 20 toddlers observed over several months at a nursery school. Can you predict how many calories a child consumes based on how long they remain at the lunch table? “Time” is the average number of minutes a child spent at a table when lunch was served. “Calories” is the average number of calories consumed by the child during lunch. The least squares regression equation is: calories = 560.65125 – 3.0770733 × time....
L. Collect data from several fast food chains on the number of fat calories and grams of saturated fat in menu items. Record at least 12 ordered pairs of (fat calories, grams of saturated fat) Organize your data in a table. Il. Make a scatter plot of the data on graph paper. Be sure to label the axes and use an appropriate title for the graph. You may wish to use a graphing calculator, spread sheet, or other technology resource...
A dietician wanted to find out if there was any association between the amount of calories (Calories; measured in calories) and the total fat (Fat, measured in grams per serving) among chicken sandwiches made from different fast food chains like McDonald’s, Wendy’s etc. A sample of 20 chicken sandwiches was collected and the information was recorded. The data set “S1181 HW2 Q4 Data.xlsx” is available on D2L. Note: Use the variable Fat as the Y-variable and the Calories as the...
I. Collect data from several fast food chains on the number of fat calories and grams of saturated fat in menu items. Record at least 12 ordered pairs of (fat calories, grams of saturated fat). Organize your data in a table.II. Make a scatter plot of the data on graph paper. Be sure to label the axes and use an appropriate title for the graph. You may wish to use a graphing calculator, spread sheet, or other technology resource (such...
The scatterplot below shows Olympic gold medal performances in the long jump from 1900 to 1988. The long jump is measured in meters. 9.0 8.8 8.6 8.4 E 8.2 8.0 7.8 -7,6 7.4 0 7.21o 7.0 0 20 40 60 8100 120 Year since 1900 Here is the equation of the least squares regression line Predicted long jump 7.24 + 0.014* year since 1900. What does the vertical-intercept (aka. y-intercept) tell us? 7.24 meters is the predicted value for the...
Question 1 Which of the following choices best describes the scatterplot shown below? Group of answer choices Linear, negative, strong No form, weak Linear, positive, strong Curved, weak Question 2 Which of the following choices is most likely to be the correlation of the data in the scatterplot shown below? Group of answer choices -0.14 1.04 0.86 -0.92 Question 3 Most roller coasters get their speed by dropping down a steep initial incline, so it makes sense that we can...
The table below gives data from a study that shows that social exclusion causes "real pain." That is, activity in the area of the brain that responds to physical pain goes up as distress from social exclusion goes up. The scatterplot for this data shows a moderately strong linear relationship. The data are given below. Social Brain Social Brain Subject distress activity Subject distress activity 1 1.24 ?0.055 8 2.22 0.028 2...
1 The table below givęs data from a study that shows that social exclusion causes "real pain." That is, activity in the area of the brain that responds to physical pain goes up as distress from social exclusion goes up. The scatterplot for this data shows a moderately strong linear relationship. The data are given below. Social Brain Social Brain Subject distress activity Subject distress activity 1.22 -0.055 8 2.20 0.024 2 1.81 -0.040 9 2.60 0.026 3 1.10 -0.025...
28 40 25 40 41 15 3. A farmer would like to investigate the relationship between the obtained yield of apple trees and the amount of weeds found in their roots. For this reason, nine apple trees of the same type were randomly selected and the amount of weeds in their roots (7 grams) was recorded together with their yield (y kilograms). Year #1 #2 #3 #4 #5 #6 #7 #8 #9 #10 Weeds in roots (2) 30 32 25...
16 . The scatterplot below shows the relationship between the body weights (measured in kg) and heart weights (measured in g) of 144 domestic cats. Also provided is a portion of the regression output. which of the below is correct? heart weight (g) 20 16 18 10 14 12 8 Coefficients: Estimate Std. Error tvalue Pre-1t1) Bwt 4.0341 0.2503 16.119 <2e-16 OOne kilogram increase body weight of the cat causes an increase of 4.0341 grams in heart weight. OTh e...