UNIT 4 - GRAPHING RELATIONS Date Lesson Topic HW Nov. 3 4.1 Plotting Points & The Cartesian Plane WS 4.1 Nov. 6 4.1 Plotting Points & The Cartesian Plane WS 4.1-II Nov. 7 4.2 Scatter Plots WS 4.2 Nov. 8 4.3 Line of Best Fit WS 4.3 Nov. 9 4.4 Curve of Best Fit WS 4.4 Nov. 10 4.5 Graphing Linear Relations WS 4.5 Nov. 13 4.6 Graphing Non-Linear Relations WS 4.6 Nov. 14 4.7 Interpreting Graphs WS 4.7 Nov. 15 4.8 CBR WS 4.8-distance time graphs Nov. 16 4.9 Review for Unit 4 Test WS 4.9 Nov. 17 4.10 UNIT 4 TEST
MFM 1P Lesson 4.1 Plotting Points on the Cartesian Plane The Cartesian Plane consists of the x-axis and the y-axis. The x-axis is horizontal and the y-axis is vertical. The point where the axes meet is called the origin. At the origin, the x-coordinate is zero (0) and the y-coordinate is zero (0). Each point on the Cartesian Plane is called an ordered pair and it is in the form (x, y). On the x-axis, negative values are on the left of the origin and positive values are on the right of the origin. On the y-axis, negative values are below the origin and positive values are above the origin. 6 y origin (0, 0) ( 2, 4) 5 4 (3, 5) 3 (0, 3) 2 To plot a point on the Cartesian Plane, begin at the origin. Move along the x-axis to the x-coordinate then move up or down to the y-coordinate. ( 5, 0) (2, 0) 6 5 4 3 2 1 1 2 3 4 5 6 x 1 ( 4, 2) 1 2 3 4 5 6 (0, 4) (5, 4)
Ex. Plot each of the following points. Label each point with its ordered pair. A (-2, 1) B (0, 7) C (2, -4) D (-7, -6) E (6, 8) F(-5, 0) y 8 7 6 5 4 3 2 1 8 7 6 5 4 3 2 1 1 2 3 4 5 6 7 8 x 1 2 3 4 5 6 7 8
Ex. State the ordered pair that represents each of the plotted points. G = H = I = J = K = L = y 8 K 7 6 L J I 5 4 3 2 1 8 7 6 5 4 3 2 1 1 2 3 4 5 6 7 8 x 1 2 3 4 H 5 6 G 7 8 WS 4.1
MFM 1P Lesson 4.2 Scatter Plots A scatter plot is used to relate two different measures. A relationship between the measures is shown by a trend in the data points. For example, the scatter plot below relates the points each player on the New York Liberty WNBA team scored with the time she played. How many athletes scored more than 200 points? Suppose an athlete played many minutes but only scored a few points. In which region of the graph might her point be? Is there a relationship between time played and number of points scored? Suppose you are a basketball coach. You select two of these players for your team. Based on these data, which two players would you select? Justify your choice. The points in this scatter plot show a relationship. As you move to the right, the points go up. There is an upward trend. The points in this scatter plot do not show a relationship. There is no trend in. the data.
Ex. The scatter plot shows temperature data for some Ontario cities in November. a) What does point D represent? b) What do points E and F represent? c) What does point G represent? d) Is there a trend in the data? Explain. WS 4.2
MFM 1P Lesson 4.3 Line of Best Fit (LoBF) Line of Best Fit - A line on a graph showing the general direction that a group of points in a scatter plot seem to be heading. Ice Cream Sales vs Temperature Line of Best Fit It is easy to see that warmer weather tends to lead to more sales, but the relationship is not perfect. When drawing a line of best fit, try to have the line as close as possible to all points, and as many points above the line as below. When the two sets of data are strongly linked together we say they have a High Correlation. The word Correlation is made of Co- (meaning together ) and Relation. Correlation is POSITIVE when the values increase together. Correlation is NEGATIVE when one value decreases as the other increases.
The owner of an ice-cream stand wants to predict the number of ice-cream cones she will sell each day. From her experience, she thinks the number may be related to the daily maximum temperature. For 2 weeks, the owner records the maximum temperature and the number of cones sold each day. She then draws a scatter plot The scatter plot shows a trend in the data. The points go up to the right. That is, as the daily maximum temperature increases, more cones are sold. To help predict the number of cones that might be sold, we draw a line of best fit. To do this, place a ruler on the graph so that it follows the path of the points. Draw a straight line along the edge of the ruler. Ex. Draw the line of best fit and use it to predict how many cones would be sold on a day when the temperature was 31 C.
Ex. The table shows the world record times for women s 500-m speed skating from 1983 to 2001. a) What trend do you see in the data? b) Draw a scatter plot and a line of best fit. Women s 500 m Speed Skating Record 40 T I M E (s) 39 38 37 36 35 1980 1985 1990 1995 2000 2005 c) What might the record have been in 1981? Year d) When might the record time be less than 37 s? e) What assumptions are you making in part d?
Ex. Jordan and Eyasu compared the statistics of the junior boys basketball team. They drew a scatter plot. a) What does each point represent? b) How many points were scored by the boy who played 10 min? c) How many boys scored 15 or fewer points? More than 15 points?. d) Describe any trends in the data. e) Draw a line of best fit. f) Predict how many points would be scored by a boy who played 22 minutes. g) Predict how long a boy who scored 13 points would have played. WS 4.3
MFM 1P Lesson 4.4 Curve of Best Fit A weather forecaster measures and plots the temperature every 2 h on a summer day. The temperatures decrease from midnight to 4:00 a.m., increase once the sun rises, reach a maximum in the afternoon, then decrease again during the late afternoon and evening.the points do not lie on a straight line, but appear to be related. These data can be approximated by a curve. We call it a curve of best fit. To draw a curve of best fit, draw the smooth curve that passes through as many points as possible. The greatest temperature occurred between 2:00 p.m. and 3:00 p.m. We can use the curve to estimate the temperature at 5:00 a.m. Begin at 5:00 a.m. on the Time of day axis. Move up to the curve, then across to the Temperature axis. At 5:00 a.m., the temperature was about 15 C. Ex. Use the curve of best fit to predict when the temperature was 20 C. Ex. Use the curve of best fit to predict the temperature at 5:00 p.m..
Height (m) Ex. A soccer ball is kicked up into the air from the ground. The height of the ball is measured at regular time intervals is shown in the table below, a) What trend do you see in the data? Explain the trend. b) Graph the data. Draw a curve of best fit. 8 h Height of a Soccer Ball 7 c) When do you think the ball is at its greatest height? Use the graph to check. 6 5 4 d) When is the ball 5 m high? 3 2 1 Time (s) 1 2 3 t e) When does the ball hit the ground? How does the graph show this? WS 4.4
Volume (cm^3) MFM 1P Lesson 4.5 Graphing Linear Relations Ex. Compare the volume of a pyramid to its height. Here are several square pyramids with base area 9 cm 2. Height (cm) Volume (cm 3 ) 1 20 y 2 16 12 3 8 4 4 5 a) Estimate the volume of a pyramid with base area 9 cm 2 and height 2.5 cm. 1 2 3 4 5 x Height (cm) As the height increases by 1 cm, the volume increases by 3 cm 3. We can join the points with a line since pyramids exist with heights between the heights in the table. Since the graph is a straight line, we say there is a linear relationship between the volume and height.
Third angle measure (degrees) Ex. How are the angles in an isosceles triangle related? a) Make a table to show the measures of the equal angles and the third angle in an isosceles triangle. What trend do you see in the data? Equal Angle measure ( ) Third Angle measure ( ) 10 20 30 40 50 60 70 80 b) Graph the data. Is the relationship linear? 160 y 140 120 100 80 60 40 20 20 40 60 80 100 x Equal angle measure (degrees) WS 4.5
Light Penetration (%) MFM 1P Lesson 4.6 Graphing Non-Linear Relations A non-linear relationship is any relationship that is not linear. Literally any relationship that is not linear, is a non-linear relationship. If a relation is non-linear, then the following are true. the graph is not a straight line the first differences (slopes between pairs of points) are not constant the degree (highest exponent) of its equation is not 1 it will not have an equation in the form y = mx + b Ex. Plankton and seaweed, which are the basis of ocean food chain, need sunlight to survive. As sunlight enters the ocean, it is absorbed and scattered by the water. The table below shows how the amount of sunlight that penetrates clear tropical ocean water changes with depth. a) Graph the relationship on the grid provided. 100 y Light Penetration in the Ocean 80 60 From the table and graph, we can see that the greater the depth, the less sunlight penetrates the water. Since the points appear to lie on a curve,we draw a smooth curve to fit the data. 40 20 50 100 150 x Depth (m) When the graph of a relationship is a curve, we say that the relationship is non-linear. b) Use your curve of best fit to estimate the percentage of sunlight that penetrates the water to a depth of 40 m. c) Use your curve of best fit to estimate the percentage of sunlight that penetrates the water to a depth of 100 m.
Caffeine (mg) Ex. A typical North American adult consumes about 200 mg of caffeine a day. Caffeine has a half-life of about 6 h. This means that about 6 h after consumption, half the caffeine remains in a person s body. a) Complete the table below to show how much b) What trends do you see in the data? caffeine is left in a person s body over time. What do you think the graph will look like? Time (h) Caffeine (mg) 0 200 6 12 18 24 c) Graph the data. Describe the graph. How does the graph compare to your prediction in part b? 200 y Half-Life of Caffeine 160 120 80 40 10 20 30 40 x Time (h) d) About how much caffeine will remain after 9 h? e) About how much caffeine will remain after 36 h? What assumption did you make? WS 4.6
MFM 1P Lesson 4.7 Interpreting Graphs Graphs are often used to display information in the media. These graphs are sometimes misleading or can be misinterpreted. Knowing how to interpret graphs is an important media literacy skill. Ex. The graph below shows the height of water in a bathtub over time. Key points where the graph changes are labelled. If we think about the possible reasons for the changes at the key points, we can describe what the graph represents. At point A, From A to B, At point B, At point C, From point D to point E, At point E,
At point F, From point G to point H, At point H, Ex. The graph shows Jorge s distance from home as he walks to school. Describe his walk. From A to B: From B to C: From C to D: From D to E: WS 4.7