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- D.5.". With the following three possible examples of best-fit lines:Line 1 The straight line pass through only two data pointsLine 2 The straight line did not pass through any data pointLine 3 The straight line did not pass through any data point Are each of the following statements true or false?1. no straight line can pass through all data points exactly. a. Trueb. False 2. line 1 does not fit the data points very well because too many points are the the right. a. Trueb. False 3. line 2 does not fit the data points very well because too many points are above the line. a. Trueb. False 4. line 3 does not fit the data points perfectly, but seems to have the best fit of these three lines. a. Trueb. FalseSubject Risk Age Blood Pressure Smoker 1. 12 57 152 2 24 67 163 3 13 58 155 4 56 86 177 1 5) Determine using appropriate graphical methods whether older people at a higher 5 28 59 196 risk of stroke ie is there a corelation between age and risk of stroke? 51 76 189 1. 7 18 56 155 1 8 31 78 120 9 37 80 135 1 10 15 78 98 11 22 71 152 12 36 70 173 1. 13 15 67 135 14 48 77 209 1. 15 15 60 199 16 36 82 119 1. 17 8. 66 166 18 34 80 125 1. 19 3 62 117 20 37 59 207 1. 21 13 56 153 22 25 бб 162 23 14 57 156 24 57 85 176 1. 25 29 58 197 26 52 75 188 1 27 19 55 156 1 28 32 77 119 29 38 79 134 1. 30 16 77 99 31 23 70 151 32 37 69 174 1 33 16 66 134 1. 34 49 76 208 1 35 16 59 200 36 37 81 118 1 37 65 167 38 35 79 124 1 39 4 61 118 40 38 58 206 1
- 7.SP.4 Drag and drop the following definitions to match the vocabulary words. Мean Median Mode Range The midde number ot a data set when the numbers are placed in order Variability The cterence between The largest nd smalest csta point How spread out a group of data is The numper that appears most often in a data set Average of a set of numbers MA DELLSuppose a researcher collects data on the bacterial contamination, measured in colony-forming unit per milliliter, for both upstream and downstream sections of 35 rivers. The data is plotted with upstream bacterial contamination on the horizontal axis and downstream bacterial contamination on the vertical axis. The Scioto River is an outlier in the ?y‑direction. What must be true about this river? The upstream bacterial contamination for this river is much higher or lower than the rest of the rivers in the data set. The downstream bacterial contamination for this river is much higher or lower than other rivers in the data set that have similar upstream bacterial contamination. This river is an influential observation. The downstream bacterial contamination for this river is much higher or much lower than the rest of the rivers in the data set. The absolute value of the residual of this river is large.from Silva and Tenreyro (2017), plots the total fertility rate against real per capita income for 88 countries in 1960 (circles) and in 2013 (triangles). Figure 3 Fertility-Income Relation in 1960 and 2013 O 1960 4 2013 Fited line 1960 Fitted line 2013 GDP per capita (USS) Source: Authors using data from the World Development Indicatorn database. Note For a sample of 88 countries, the figure shows the scanerplos and fined line (that is, the kowess smoothed relationship or locally weighted snoothing function) between the total fertility rate and log of per capita GDP (in constant 2005 USS) in 1960 and 2013. The xaxis is log scale. Describe in words what the figure reveals about the relationship be- tween the level of income per capita and fertility in 2013 across countries and discuss to which extend the empirical relationship observed in 2013 is or is not consistent with the predictions of the Solow growth model with population growth, which takes fertility as exogenously given. In…
- 8. Find Q.D. and its coefficient from the following data. Class 130- 134 160- 155- 159 12 135- 140- 140- 145- 150- Interval 139 164 144 21 149 154 Frequency 3. 12 28 19 5) For each description of data, identify theW’s, name the variables, specify for each variable whether itsuse indicates that it should be treated as categorical or quantitative, and, for any quantitative variable, identify the units inwhich it was measured (or note that they were not provided) Walking in circles People who get lost in the desert,mountains, or woods often seem to wander in circlesrather than walk in straight lines. To see whether peoplenaturally walk in circles in the absence of visual clues,researcher Andrea Axtell tested 32 people on a footballfield. One at a time, they stood at the center of one goalline, were blindfolded, and then tried to walk to the othergoal line. She recorded each individual’s sex, height,handedness, the number of yards each was able to walkbefore going out of bounds, and whether each wanderedoff course to the left or the right. No one made it all theway to the far end of the field without crossing one of thesidelines. [STATS No. 39, Winter…A random sample of 20 adults in a particular country were asked to state what type of birth control method they use. The results are in the table below. None None None Condom Condom Condom Pill Pill Other Other Pill Other Condom Condom Pill None Condom Pill Pill Other a) Since data were collected for variable(s), the correct graph to make is a . b) Complete the frequency/relative frequency table. Birth Control Type Frequency Relative Frequency None Condom Pill Other c) Which of the following is the correct bar chart for the given data? 2468Birth Control TypeFreqNoneCondomPillOther[Graphs generated by this script: setBorder(49,45,0,10); initPicture(0,13,0,8);axes(1000,2,1,1000,2); fill="blue"; textabs([165,0],"Birth Control…
- Rel ACTIVITY 2 Published Edit ⠀ The heights of 50 students, measured to the nearest centimeters, have been found to be as follows: 0o 161, 150, 154, 165, 168, 161, 154, 162, 150, 151, 162, 164, 171, 165, 158, 154, 156, 172, 160, 170, 153, 159, 161, 170, 162, 165, 166, 168, 165, 164, 154, 152, 153, 156, 158, 162, 160, 161, 173, 166, 161, 159, 162, 167, 168, 159, 158, 153, 154, 159 1. Create a frequency distribution table using the format shown below: Interval Tally Frequency Relative Frequency Cummulative Frequency 2. Draw a Histogram and Frequency Polygon using the frequency distribution table constructed in number 1. **Note: the activity must be handwritten. >>. State two types of statistical variables Numerical and discrete variables Categorical and numerical variables Descriptive and quantitative variablesThe following table lists highway miles (in MPG) and weight (in pounds) for a variety of cars, foreign and domestic (same data as before). CAR HWY WEIGHT Chev. Cavalier 31 2795 Lincoln Cont. 24 3930 Mitsubishi Eclipse 33 3235 Olds. Aurora 26 3995 Pontiac Grand Am 30 3115 Chev. Corvette 28 3220 BMW 3-Series 27 3225 Ford Crown Victoria 24 3985 Hyundai Accent If we let x be the weight and y be the Highway MPG, and we used Excel to compute the equation of the Least- 37 2290 Square regression line (which comes out to be y = -0.00672'x + 51.1156) as well as the correlation coefficient (which comes out to be -0.89). Then you used that equation to predict that the Highway Miles for a car that weighs just 1000 pounds would be 44.4 mpg. I think this prediction is accurate because the person used Excel for the computation. O I think this prediction is not accurate since a car that weighs 1000 pounds is not part of the original data list. O Ithink this prediction is not accurate because the person…
