MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- The data show the time intervals after an eruption (to the next eruption) of a certain geyser. x (Height in ft.) 136 113 148 118 145 117 112 141 y (Interval after in min.) 91 85 95 88 89 85 87 90 a. Find the value of the linear correlation coefficient: r = nothing (Round to three decimal places as needed.) b. Find the critical value for determining if there is a linear relationship in the population of all eruptions (use alpha equals 0.05 ): Critical value = nothing (Round to three decimal places as needed.) c. Is there a linear correlation between height and interval in the population of all eruptions? A. No B. Yes d. What is the regression equation that gives the interval in terms of the height? yequals nothingplusnothing x (Round to three decimal places as needed.) e. Find the best predicted time of the interval after an eruption given that the current eruption has a height of…arrow_forwardWhich of the following choices could be the Pearson correlation between the x and y variables shown in the scatter plot shown here? a) .934 b) -.934 c) 1 d) 0arrow_forwardMatch each correlation value with its interpretation A. large (strong) negative relationship B. small (weak) positive relationship C. large (strong) positive relationship select 1.r -0.8 select 2.r 0.1 select 3. r = 0.7 7,821 MAR 20 F3 F2 D00 F4 F5 F6 F7 $ % & 4 6 LA 00 %#3arrow_forward
- Determine which plot shows the strongest linear correlation. S OA. 7 X 4 4 H O C. # 3 80 F3 E D C $ 4 R F % 5 V T G 6 MacBook Air B FO Y H & 7 U N OB. OD. * 8 J DII 1 0 46 M ( 9 YA O K DD F9 O ) < 20 O 1 L F10 Time Remaining: 01:59:07 P .v command .... 6 FI I { [ ? option 1 Next ] darrow_forwardWhich of the following best describes the relationship between the variables on the scatter plot below? 11 10 15 4 3. 2 1 1234 56 7 8 9 10 11 12 13 O A. linear association OB. no association OC. non-linear association OD. linear and non-linear associationarrow_forwardPage 34 Compute the correlation coe cient, r, for the following table: X 10 y 5 12 15 16 1 4 6 18 1 9 7 8 1 25 12 14 17 3 6arrow_forward
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