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- . Calculate the 2 possible values of x in this equation: x2 – 16x + 48 = 0, either by using the quadratic equation developed by Abu Abd-Allah ibn Musa al-Kwarizmi, or by factoring the integer values of x. A. x = 4 or 12 x = 1 or 48 x = 16 or 3 x = 24 or 2 x = 8 or 68. Appropriately label all structures provided with leader lines on the model shown below. (hisCan you please help with number 3 using the data provided?
- Use the scoring system described to calculate the alignment score for IPNI AAIG DV VAGP VKGIYA VG DV C-GK Scoring system: • Each identity results in +10 points. • Each gap has a penalty of -25 points. score = What is the percent identity (also called percent identity match)? percent identity: %1. What is the independent variable for figure 1? 2. What is the dependent variable for figure 1? 3. What type of Graph is this? Why did the authors choose this type of graph to display their data?3. Use the following Punnett square to answer the questions below (a-g):
- Report the chi-square statistic value State the degrees of freedom We are only looking at F1 cross 13. Medical professionals say that 98.6°F is the normal body temperature of an average person. Healthy individuals' temperatures should not vary more than 0.5°F from that temperature. a. Write an absolute value function f(t) to describe an individual's variance from normal body temperature, where t is the individual's current temperature. b. Determine f(101.5) and describe what that tells you about the individual. c. What is a reasonable domain for a healthy individual?1) You compare the height and weight of 5 adult women. You get the following results:height 60 67 62 70 66weight 119 143 131 155 136(a) Construct a scatter plot of height (x) vs. weight (y)(b) Calculate the following (show your work for SScp):SSx SSy SScp ̄x ̄y(c) Calculate the correlation coefficient (r)2) Use the information from problem 1. Perform a complete test of the hypothesis that the populationcorrelation coefficient (ρ) is 0. Show all steps (note - obviously this should be a one sided test! Make sure youknow why!).3) Now let's assume you wanted to predict weights from heights. In other words, now let's use the same datafrom problem (1) and do a regression instead.(a) Calculate b0 and b1.(b) Carefully draw your least square regression line on the plot you made in 1(a). (Don't just “sketch”,be a little careful).4) (a) Now do a significance test of H0: β1 = 0. Show all your calculations (including your residualcalculations). Again, note that this should be a one sided test…