A number of people were asked how many hours each week they spend on the internet. Their results were graphed against their age in the scatter plot and a strong negative correlation was observed. A line of good fit has been drawn in.
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A number of people were asked how many hours each week they spend on the internet. Their results were graphed against their age in the scatter plot and a strong negative correlation was observed. A line of good fit has been drawn in.
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A number of people were asked how many hours each week they spend on the internet. Their results were graphed against their age in the scatter plot and a strong negative correlation was observed. A line of good fit has been drawn in.20aHelpLessonCalculatorToolboxMoreDetermine the $$x and $$y intercepts of the line of good fit.$$x intercept = $$y intercept = $$ab$$abSubmit stepView next step20b20c20d10203040x (Age)10203040506070y (Hours)Loading Graph...
The following graph shows the number of internet users (per 100 people) and the breast cancer deaths (per 100,000 women) in 23 countries.Use the scatterplot to select the most correct response about the relationship between number of internet users and breast cancer deaths.Group of answer choicesBecause the slope of the line is positive we can say that higher breast cancer death rates cause higher numbers of internet users.The graph shows no relationship between the number of internet users and breast cancer death rates, so we cannot say that higher numbers of internet users causes higher breast cancer death rates.Because there is a strong linear correlation we can say that higher breast cancer death rates cause higher numbers of internet users.Because there is a positive linear relationship between the number of internet users and breast cancer deaths, we can say that higher numbers of internet users causes higher breast cancer death rates.There is a positive linear relationship between the number of internet users and breast cancer death rates, but we cannot say that higher numbers of internet users causes higher breast cancer death rates.
The scatter plot shows the number of hours worked and money spent on entertainment by each of 21 students. Also shown is the line of best fit for the data.Fill in the blanks below.y510152025303540455055606570x2468101214161820220AmountofmoneyspentonentertainmentindollarsNumberofhoursworked(a)For these 21 students, as the number of hours increases, the amount of money spent tends to ▼(Choose one)(b)For these 21 students, there is ▼(Choose one) correlation between the number of hours worked and the amount of money spent.(c)Using the line of best fit, we would predict that a student working 12 hours would spend approximately ▼(Choose one)
Caroline asked several people about their age and how much television they watch each night. She recorded the data in a scatterplot.What can be concluded from the scatter plot?
n a recent survey, 150 third-level students in Cork were asked to state how many hours they spent onthe internet in the first week of May. Results were as follows:Time spent on internet (hours) Number of students≥ 0 𝑎𝑛𝑑 < 5 30≥ 5 𝑎𝑛𝑑 < 10 55≥ 10 𝑎𝑛𝑑 < 15 31≥ 15 𝑎𝑛𝑑 < 20 29≥ 20 𝑎𝑛𝑑 < 25 5(a) Draw a histogram for this distribution.[6 marks](b) Calculate, correct to one decimal place, the mean time spent on the internet
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