On the y-axis, you can use one large box, or even two large boxes for every 10 minutes.ī) As the x variable increases, the y variable increases, so there is a posit ive correlation. Since there are no values between 0 and 50, it makes sense to start the scale from 50. This could be before 45 minutes have elapsed.)Ī) Since time is the first row of the data table, time should be on the y-axis.Īs far as your scale is concerned, on the x-axis, it would make sense to use one box to represent 10 kilograms in weight. After a certain amount of time, the cup of tea will reach room temperature and will stay at this temperature. (The temperature of the cup of tea will not continue to drop forever. (A couple of degrees above or below 66 will be acceptable since drawing the line of best fit is never that precise.)Į) It would be inappropriate to find an estimate for the temperature after 45 minutes as 45 minutes is beyond the range of the data. Since all the points are very close to the line of best fit, this graph has strong negative correlation.Ĭ) Since the y variable decreases as the x variable increases, this tells us that the temperature of the cup of tea is reducing over time (the cup of tea is getting colder over time).ĭ) In order to find an estimate for the temperature of the cup of tea after 6 minutes, we need to locate 6 minutes on the x-axis and draw a vertical line from 6 until it touches your line of best fit, then draw a horizontal line to the left to find the corresponding temperature value. As the x variable increases, the y variable decreases, so there is a negative correlation. Draw a line that cuts through the middle of as many of the dots as possible. Your completed scatter graph should look like the below:ī) In order to work out what type of correlation there is, we need to draw in a line of best fit. (Since the temperature starts at 45\degree and goes up to 95\degree, you could start your temperature at 40\degree instead of 0\degree if you prefer.) On the y-axis, you can use can go up in increments of 10 or 20 degrees. As far as your scale is concerned, on the x-axis, it would make sense to go up in increments of one or two minutes. A) Since time is the first row of the data table, time should be on the x-axis.
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