 तो हमने रन किया तूवे रेपीटिट मेयर आनोवा अपूट के लिए में सारी जो अपूट के में टेबस दे वहां से कोपी पेस करके इस पावर पोईंट के अंदा में पेस की हैं अई बल एक स्पलेईन वंबाई वं. तो हमने रन किया अनालसेज उसका पहला जो तेबल हमारे पास आईगा वो मारे पास शुरू में बताता है कि विदिन सबज्ट हमारे प्टरस कितने हैं और यो बतारा है कि अपका पहला जो वेरिएबल द्रिंग हैं जिसके डो लेवल से हैं अप एक वाड आप की इमज्री है थो हर एक लेवल के अंदर उसका मीन. यहनि कितना हैं और उसका बाज उसकी च्टन्त्र डीवेयषन अप फिर असके हम आवाड पास उसके नहीं ञमे देद गया है. वेड़ of the data, add it at the level of each predictor, हमारे बताता वेरिएबल और थो थोस तेबल बताता है कि वो, उनका मीन अस्टान्र दिवीश्यन अख्राँ सिक्स कंदिश्यन्स क्या है सेकिन जो मारे पस टेबल आती है मैंने जिसे बता आता के हमारी एनोवा की होमवोजनाइति अफ वेरियन्स यन देपन्न्नट एनोवा और मार्ष्ट्रले टेस्त हम युस करते हैं फो रेपीटिड मैंगर एनोवा और मार्ष्ट्रले टेस्त का मतलब होता है के इक्वालति अफ देपन्ट वेरियन्स बत्वीन इच पेर अप देपन्ट लेवल बजाए ज़सा हम होमवोजनाइति अफ वेरियन्स छोग लिवाए लिविन्स टेस्त करते थे के हमारे दोनो गुरुट्स में जो इन्टिपन्टन्ट ते के हमारा वेरियन्स इख्वल है अप चुके मारे पस अलरी देपीटिड मैंझर है अगी पार्टिस्पन्ट से हर लेवल पे तो आब हम यह कते है के वेरियन्स एख्वल अक्रोस इच पेर अप देपीटिड देपीटिड मेंच्ड़ाए ग़िए खोग और आप अपना आपना आपनी और देपीटिड but as you can see, the values are same, so we have reported the value of green house geyser and above it is one and same thing. So we have to report three types of values, first for the main effect of drink, main effect of imagery and then the interaction of the two. For a report, we mainly report the value of F and SIG, this is P value. And we know that P value should be smaller than 0.05. So if you see, the main effect of the drink is significant, yes, because 0.013 is smaller than 0.05, so there is a significant effect of the drink on the attitudes towards drinks, and then our imagery is also significant effect, because the value is less than 0.05. It is 0.00, when we report, usually we report this 0.00 to 0.001, P is greater than P is equal to 0.001. So the main effect of imagery are significant, main effect for the drink are significant, now how imagery and drink are interacting with each other, again the results are significant. So we have three test values for the F and all three are significant. The value tells us that there is a significant main effect of the type of the drink and type of the imagery as well as significant interaction between these two variables. And what I have told you that the main effect of the interaction effect is from this plot, which is called interaction plot or profile plot. Actually graph literacy again is a separate kind of skill like our numeracy skill, our mathematical quantitative ability skill, graph literacy again is a separate skill. Many people are very good in math, in graph readings, they are not very good. So here you can see that this is the line of drink 1 and this is for drink 2, i.e. these are the ratings about coffee. The ratings are our attitude towards it. So now whether you have used positive imagery, negative or neutral for it, our attitude towards coffee has not changed much, almost it is like this. But for the alcohol, when we have used its positive imagery, our attitude has become very positive and high. And when we have used negative imagery about it, negative imagery means that you associate it with a negative thing or with the name of alcohol, link it with a very negative thing. So you will start developing negative attitude towards that stimuli. So now when you have used your negative imagery, your attitude towards it has gone down a lot, i.e. it has become low or negative and it has become neutral in our neutral. So you can see that the main effect of imagery is significant. The main effect of alcohol is significant. Whether it is any imagery for coffee, your ratings are positive or more or less. But the ratings for your alcohol are different. So there is a main effect between these two lines. Yes, there is main effect for the imagery. Yes, 1, 2, 3. And then there is an interaction significant that when you have used imagery, then he did not do so much work for the positive or negative coffee. But for this particular variable, which is alcohol and which was the purpose of the scientist to develop negative attitude towards alcohol, that was really, really significant. And that's the beauty of the interaction effect that sometimes our main effect does not have a difference. But we know that imagery will work. Maybe coffee does not work for imagery. But when we use this imagery for the other type of drink, then it works. So you can see that graph shows that there is a significant interaction effect between the two. And this is the same which I have told you that our significant interaction effect is there between the two variables and the significant main effect for drink as well as for the type of imagery. Again, this is the interpretation which I have already explained. I can read the significant interaction effect tells us that the type of imagery used and a different effect depending on which type of drink was being rated. The graph shows that the pattern of response across drinks both for alcohol and coffee was higher for positive imagery when compared to negative and neutral imagery i.e., ratings were positive for coffee and alcohol with a slight mean difference. I have just explained everything to you. Negative imagery had the desired effect on attitude toward alcohol but much less impact on the ratings of the coffee. So negative imagery which we have used did not change the attitude of coffee but our attitude towards alcohol has become very negative. Therefore, the interaction is likely to reflect the fact that imagery has the expected effect for alcohol that is rating highest for positive and lowest for the negative and neutral somewhere between but not for the coffee. So the interaction effect is significant.